Instructions to use google/mt5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/mt5-small with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/mt5-small") model = AutoModelForSeq2SeqLM.from_pretrained("google/mt5-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding ONNX file of this model (#5)
- Adding ONNX file of this model (bb6c759ab5ee903b5375812eb882ac0388304dd7) Co-authored-by: xiongzhongchi <xiongzhongchi@users.noreply.huggingface.co>73fb5db
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Adding generation config file(s)
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Update README.md (#1)
- Update README.md (973770f41e59bf7edf986fe0463abbc9f31babff) Co-authored-by: Loïck BOURDOIS <lbourdois@users.noreply.huggingface.co>f03a52d
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upload flax model
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allow flax
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Create README.md
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add tf model
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correct tokenizer
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upload mt5 small
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initial commit
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