Hafedh Hichri's picture

Hafedh Hichri

not-lain

AI & ML interests

custom AI models with HF integration, multimodal rag and open-source contributions && may or may not be a huggingface fellow

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updated a Space about 10 hours ago
not-lain/abcdef
liked a Space about 11 hours ago
fffiloni/SAM2-Image-Predictor
liked a Space about 11 hours ago
merve/vision_papers
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not-lain's activity

reacted to nroggendorff's post with βž• 1 day ago
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4183
hey nvidia, can you send me a gpu?
comment or react if you want ~~me~~ to get one too. πŸ‘‰πŸ‘ˆ
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replied to nroggendorff's post 1 day ago
reacted to ivanfioravanti's post with πŸ‘ 5 days ago
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1495
Probably most of you already knows this trick but just in case:
πŸ€” Unable to connect to Hugging Face Spaces Dev Mode through local Cursor? πŸ’‘ Don't worry there is an easy trick!

- right click Connect with VS Code
- copy link in your browser
- vscode://vscode-remote/...
- replace vscode with cursor and go
- cursor://vscode-remote/...
reacted to sayakpaul's post with πŸ”₯ 10 days ago
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3744
Commits speak louder than words πŸ€ͺ

* 4 new video models
* Multiple image models, including SANA & Flux Control
* New quantizers -> GGUF & TorchAO
* New training scripts

Enjoy this holiday-special Diffusers release πŸ€—
Notes: https://github.com/huggingface/diffusers/releases/tag/v0.32.0
reacted to FranckAbgrall's post with πŸ”₯ 15 days ago
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1104
πŸ†• It should now be easier to identify discussions or pull requests where repository owners are participating on HF, let us know it that helps πŸ’¬πŸ€—
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reacted to FranckAbgrall's post with πŸ”₯πŸ‘ 23 days ago
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1987
Hey!

✨ If you're using HF access tokens, we just released an overview of the permissions for fine-grained tokens by hovering over the badge on token settings page (org and user)

It will show the highest permission you've set for each entity πŸ‘€
reacted to julien-c's post with πŸ”₯ 23 days ago
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7917
After some heated discussion πŸ”₯, we clarify our intent re. storage limits on the Hub

TL;DR:
- public storage is free, and (unless blatant abuse) unlimited. We do ask that you consider upgrading to PRO and/or Enterprise Hub if possible
- private storage is paid above a significant free tier (1TB if you have a paid account, 100GB otherwise)

docs: https://huggingface.co/docs/hub/storage-limits

We optimize our infrastructure continuously to scale our storage for the coming years of growth in Machine learning, to the benefit of the community πŸ”₯

cc: @reach-vb @pierric @victor and the HF team
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reacted to thomwolf's post with πŸ”₯ 29 days ago
reacted to hexgrad's post with πŸ”₯ about 1 month ago
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2919
self.brag(): Kokoro finally got 300 votes in Pendrokar/TTS-Spaces-Arena after @Pendrokar was kind enough to add it 3 weeks ago.
Discounting the small sample size of votes, I think it is safe to say that hexgrad/Kokoro-TTS is currently a top 3 model among the contenders in that Arena. This is notable because:
- At 82M params, Kokoro is one of the smaller models in the Arena
- MeloTTS has 52M params
- F5 TTS has 330M params
- XTTSv2 has 467M params
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reacted to loubnabnl's post with πŸ”₯ about 1 month ago
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1733
Making SmolLM2 reproducible: open-sourcing our training & evaluation toolkit πŸ› οΈ https://github.com/huggingface/smollm/

- Pre-training code with nanotron
- Evaluation suite with lighteval
- Synthetic data generation using distilabel (powers our new SFT dataset HuggingFaceTB/smoltalk)
- Post-training scripts with TRL & the alignment handbook
- On-device tools with llama.cpp for summarization, rewriting & agents

Apache 2.0 licensed. V2 pre-training data mix coming soon!

Which other tools should we add next?
reacted to victor's post with πŸ”₯ about 1 month ago
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2325
Perfect example of why Qwen/Qwen2.5-Coder-32B-Instruct is insane?

Introducing: AI Video Composer πŸ”₯
huggingface-projects/ai-video-composer

Drag and drop your assets (images/videos/audios) to create any video you want using natural language!

It works by asking the model to output a valid FFMPEG and this can be quite complex but most of the time Qwen2.5-Coder-32B gets it right (that thing is a beast). It's an update of an old project made with GPT4 and it was almost impossible to make it work with open models back then (~1.5 years ago), but not anymore, let's go open weights πŸš€.
reacted to luigi12345's post with πŸ‘ about 1 month ago
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3717
MinimalScrap
Only Free Dependencies. Save it.It is quite useful uh.


!pip install googlesearch-python requests
from googlesearch import search
import requests
query = "Glaucoma"
for url in search(f"{query} site:nih.gov filetype:pdf", 20):
    if url.endswith(".pdf"):
        with open(url.split("/")[-1], "wb") as f: f.write(requests.get(url).content)
        print("βœ…" + url.split("/")[-1])
print("Done!")

reacted to merve's post with ❀️ about 1 month ago
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3134
your hugging face profile now has your recent activities πŸ€—
replied to cfahlgren1's post about 2 months ago
reacted to davanstrien's post with ❀️ about 2 months ago
reacted to sayakpaul's post with πŸš€β€οΈ about 2 months ago
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2619
It's been a while we shipped native quantization support in diffusers 🧨

We currently support bistandbytes as the official backend but using others like torchao is already very simple.

This post is just a reminder of what's possible:

1. Loading a model with a quantization config
2. Saving a model with quantization config
3. Loading a pre-quantized model
4. enable_model_cpu_offload()
5. Training and loading LoRAs into quantized checkpoints

Docs:
https://huggingface.co/docs/diffusers/main/en/quantization/bitsandbytes
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reacted to merve's post with πŸ‘€πŸ”₯ about 2 months ago
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5035
OmniVision-968M: a new local VLM for edge devices, fast & small but performant
πŸ’¨ a new vision language model with 9x less image tokens, super efficient
πŸ“– aligned with DPO for reducing hallucinations
⚑️ Apache 2.0 license πŸ”₯

Demo hf.co/spaces/NexaAIDev/omnivlm-dpo-demo
Model https://huggingface.co/NexaAIDev/omnivision-968M
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