Upload Dinov2ForImageClassification
Browse files- README.md +199 -0
- config.json +203 -0
- model.safetensors +3 -0
README.md
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---
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library_name: transformers
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tags: []
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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config.json
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{
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"_name_or_path": "facebook/dinov2-giant",
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"apply_layernorm": true,
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"architectures": [
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"Dinov2ForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"drop_path_rate": 0.0,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 1536,
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"id2label": {
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"0": "20s",
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"1": "30s",
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"10": "artsy",
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"11": "athleisure",
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"12": "balletcore",
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"13": "barbiecore",
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"14": "beach",
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"15": "bimbocore",
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"16": "blokette",
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"17": "bohemian",
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"18": "casual",
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"19": "chic",
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"2": "40s",
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"20": "classicore",
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"21": "coastal cowgirl",
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"22": "coastal grandmother",
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"23": "comfy cozy",
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"24": "cool girl",
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"25": "coquette",
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"26": "corporate",
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"27": "country",
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"28": "dark academia",
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"29": "eclectic",
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"3": "50s",
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"30": "edgy",
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"31": "ethereal",
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"32": "europecore",
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"33": "folk",
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"34": "frazzled english woman",
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"35": "fruit girl",
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"36": "garconne",
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"37": "girly girl",
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"38": "goth",
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"39": "granola",
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"4": "60s",
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"40": "grunge",
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"41": "indie",
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"42": "it girl",
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"43": "kawaii",
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"44": "lagenlook",
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"45": "mermaidcore",
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"46": "minimalist",
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"47": "mob wife",
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"48": "modest",
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"49": "nerdy",
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"5": "70s",
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"50": "normcore",
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"51": "old money",
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"52": "preppy",
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"53": "skater",
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"54": "sporty",
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"55": "stealth wealth",
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"56": "streetwear",
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"57": "tomato girl",
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"58": "tomboy",
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"59": "vanilla girl",
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"6": "80s",
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"60": "vintage",
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"7": "90s",
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"8": "Y2K",
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"9": "art hoe"
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},
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"image_size": 518,
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"initializer_range": 0.02,
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"label2id": {
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"20s": "0",
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"30s": "1",
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"40s": "2",
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"50s": "3",
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"60s": "4",
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"70s": "5",
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"80s": "6",
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"90s": "7",
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"Y2K": "8",
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"art hoe": "9",
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"artsy": "10",
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"athleisure": "11",
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"balletcore": "12",
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"barbiecore": "13",
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"beach": "14",
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"bimbocore": "15",
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"blokette": "16",
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"bohemian": "17",
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"casual": "18",
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"chic": "19",
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"classicore": "20",
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"coastal cowgirl": "21",
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"coastal grandmother": "22",
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"comfy cozy": "23",
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"cool girl": "24",
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"coquette": "25",
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"corporate": "26",
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"country": "27",
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"dark academia": "28",
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"eclectic": "29",
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"edgy": "30",
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"ethereal": "31",
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"europecore": "32",
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"folk": "33",
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"frazzled english woman": "34",
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"fruit girl": "35",
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"garconne": "36",
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"girly girl": "37",
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"goth": "38",
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"granola": "39",
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"grunge": "40",
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"indie": "41",
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"it girl": "42",
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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"torch_dtype": "float32",
|
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"transformers_version": "4.38.2",
|
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"use_swiglu_ffn": true
|
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}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
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|
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version https://git-lfs.github.com/spec/v1
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oid sha256:603e7a9e856b11ee9a72362ccfc87b631ef84c436791d888805c53cbbcd22700
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size 4546760500
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