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Push model using huggingface_hub.

Browse files
README.md CHANGED
@@ -1,34 +1,15 @@
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  ---
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- library_name: setfit
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- metrics:
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- - accuracy
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- pipeline_tag: text-classification
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  tags:
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  - setfit
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  - sentence-transformers
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  - text-classification
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  - generated_from_setfit_trainer
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- widget:
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- - text: Do you offer any referral bonuses for bringing new Pro subscribers
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- - text: Point out any dull descriptions that need more color
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- - text: Find places where I repeat my main points unnecessarily
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- - text: Any suggestions for a surprising end to a short story
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- - text: What are some cool ways to describe a hidden civilization
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  inference: true
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- model-index:
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- - name: SetFit
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- results:
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- - task:
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- type: text-classification
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- name: Text Classification
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- dataset:
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- name: Unknown
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- type: unknown
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- split: test
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- metrics:
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- - type: accuracy
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- value: 1.0
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- name: Accuracy
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  ---
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  # SetFit
@@ -58,20 +39,6 @@ The model has been trained using an efficient few-shot learning technique that i
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  - **Paper:** [Efficient Few-Shot Learning Without Prompts](https://arxiv.org/abs/2209.11055)
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  - **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
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- ### Model Labels
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- | Label | Examples |
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- |:----------------------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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- | comments_assistance | <ul><li>'Can you identify specific areas that need improvement in my text'</li><li>'Point out the flaws in my writing style, please'</li><li>'Which parts of my draft are the weakest'</li></ul> |
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- | chat_assistance | <ul><li>"How do I make my character's driving force more compelling"</li><li>"Any tips to deepen my protagonist's underlying goals"</li><li>"Suggestions for strengthening the reasons behind my character's actions"</li></ul> |
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- | pro_subscription_assistance | <ul><li>'How does the Pro version elevate my writing experience'</li><li>'Could you list the premium perks of Quarkle Pro'</li><li>'What special advantages come with upgrading to Pro'</li></ul> |
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-
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- ## Evaluation
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-
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- ### Metrics
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- | Label | Accuracy |
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- |:--------|:---------|
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- | **all** | 1.0 |
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-
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  ## Uses
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  ### Direct Use for Inference
@@ -90,7 +57,7 @@ from setfit import SetFitModel
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  # Download from the 🤗 Hub
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  model = SetFitModel.from_pretrained("setfit_model_id")
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  # Run inference
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- preds = model("Point out any dull descriptions that need more color")
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  ```
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  <!--
@@ -119,22 +86,11 @@ preds = model("Point out any dull descriptions that need more color")
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  ## Training Details
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- ### Training Set Metrics
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- | Training set | Min | Median | Max |
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- |:-------------|:----|:-------|:----|
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- | Word count | 1 | 8.9364 | 15 |
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-
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- | Label | Training Sample Count |
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- |:----------------------------|:----------------------|
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- | chat_assistance | 163 |
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- | comments_assistance | 156 |
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- | pro_subscription_assistance | 121 |
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-
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  ### Framework Versions
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  - Python: 3.10.15
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- - SetFit: 1.2.0.dev0
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  - Sentence Transformers: 3.3.1
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- - Transformers: 4.47.1
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  - PyTorch: 2.5.1
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  - Datasets: 3.2.0
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  - Tokenizers: 0.21.0
 
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  ---
 
 
 
 
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  tags:
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  - setfit
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  - sentence-transformers
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  - text-classification
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  - generated_from_setfit_trainer
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+ widget: []
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+ metrics:
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+ - accuracy
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+ pipeline_tag: text-classification
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+ library_name: setfit
 
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  inference: true
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # SetFit
 
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  - **Paper:** [Efficient Few-Shot Learning Without Prompts](https://arxiv.org/abs/2209.11055)
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  - **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
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  ## Uses
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  ### Direct Use for Inference
 
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  # Download from the 🤗 Hub
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  model = SetFitModel.from_pretrained("setfit_model_id")
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  # Run inference
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+ preds = model("I loved the spiderman movie!")
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  ```
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  <!--
 
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  ## Training Details
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  ### Framework Versions
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  - Python: 3.10.15
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+ - SetFit: 1.1.1
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  - Sentence Transformers: 3.3.1
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+ - Transformers: 4.48.0
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  - PyTorch: 2.5.1
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  - Datasets: 3.2.0
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  - Tokenizers: 0.21.0
config.json CHANGED
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  "pad_token_id": 0,
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  "position_embedding_type": "absolute",
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  "torch_dtype": "float32",
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- "transformers_version": "4.47.1",
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  "type_vocab_size": 2,
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  "use_cache": true,
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  "vocab_size": 30522
 
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  "pad_token_id": 0,
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  "position_embedding_type": "absolute",
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  "torch_dtype": "float32",
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+ "transformers_version": "4.48.0",
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  "type_vocab_size": 2,
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  "use_cache": true,
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  "vocab_size": 30522
config_sentence_transformers.json CHANGED
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  {
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  "__version__": {
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  "sentence_transformers": "3.3.1",
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- "transformers": "4.47.1",
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  "pytorch": "2.5.1"
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  },
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  "prompts": {},
 
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  {
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  "__version__": {
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  "sentence_transformers": "3.3.1",
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+ "transformers": "4.48.0",
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  "pytorch": "2.5.1"
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  },
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  "prompts": {},
config_setfit.json CHANGED
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  {
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- "normalize_embeddings": true,
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  "labels": [
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  "chat_assistance",
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  "comments_assistance",
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  "pro_subscription_assistance"
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- ]
 
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  }
 
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  {
 
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  "labels": [
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  "chat_assistance",
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  "comments_assistance",
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  "pro_subscription_assistance"
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+ ],
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+ "normalize_embeddings": true
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  }
model_head.pkl CHANGED
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- oid sha256:d8c19c454d012eba9f9b40ca6844dd1d71903207f7ca7cbe5e05517820e4f85c
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- size 10415
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:2683d8e5c5262347956a652b78c20ade84f01edde6623f741173bfb873f6b399
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+ size 10399