Instructions to use bigscience/T0p with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bigscience/T0p with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("bigscience/T0p") model = AutoModelForSeq2SeqLM.from_pretrained("bigscience/T0p", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#3)
Verified signature- Adding `safetensors` variant of this model (dd293576f2283cf94527840980eea6a74ea36c69) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>29e7d6d
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Add more the bias examples (#1)
VictorSanh +1: JonathanSum - Add more the bias examples (13d81dacf47958efac6a2b863b0807f2415fdab0) - update bias&fairness examples characterization (1b8fcdacba1a49ab2a1e018bbe0213c09d0fe08a) Co-authored-by: Jonathan Sum <JonathanSum@users.noreply.huggingface.co>99436b3
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add repo link
Victor Sanhd16779f
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fp16, bf16 and fp32
Victor Sanh8015ad0
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fix typo
Victor Sanh4f38435
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fix row mixing in winobias table
Victor Sanh9ffc60b
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Update pronunciation + update pre-filled examples
Victor Sanh019e5b9
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fix typo
Victor Sanh289f5a9 -
fix typo
Victor Sanh9779418 -
Update README.md
Victor Sanh6adea64
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Create README.md
Victor Sanh2795df9
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upload model
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initial commit
39dbc48