Instructions to use M-CLIP/M-BERT-Distil-40 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use M-CLIP/M-BERT-Distil-40 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="M-CLIP/M-BERT-Distil-40")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("M-CLIP/M-BERT-Distil-40") model = AutoModel.from_pretrained("M-CLIP/M-BERT-Distil-40", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model
This is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.712a369
-
Update README.md (#1)
- Update README.md (6d2b3c2b5f7a1bd4e2e97ead8f98b1bb5db40a13) Co-authored-by: Loïck BOURDOIS <lbourdois@users.noreply.huggingface.co>e138c57
-
Merge remote-tracking branch 'origin/main' into main
Fredrikff20c09
-
Updated Model To More Recent Version
Fredrik737c637 -
Update README.md
67bc61a -
Update README.md
08c8057 -
Create README.md
ccc9920
-
Main Commit
Fredrik9140043 -
initial commit
5d10e20