Instructions to use ybelkada/opt-125m-debug with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ybelkada/opt-125m-debug with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ybelkada/opt-125m-debug")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ybelkada/opt-125m-debug") model = AutoModel.from_pretrained("ybelkada/opt-125m-debug", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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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.8e01682
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Change BOS token from 0 to 2 as BOS token is equal to EOS for OPT. See: https://github.com/huggingface/transformers/issues/17431 (#1)
ybelkada +1: patrickvonplaten - Change BOS token from 0 to 2 as BOS token is equal to EOS for OPT. See: https://github.com/huggingface/transformers/issues/17431 (57bc06d0f4b83079b66f1faf67f29b0157447764) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>ef108af
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v1 - config
Younes Belkadaa80dcef -
v1 - model
Younes Belkadaef91513 -
Create README.md
Younes Belkada0e17657 -
initial commit
Younes Belkadaf8acd36