Instructions to use google/byt5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/byt5-large with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/byt5-large") model = AutoModelForSeq2SeqLM.from_pretrained("google/byt5-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Update README.md
Loïck BOURDOISTo help with the referencing of the dataset by indicating the languages included in the multilingual model, only the xx language tags are listed here because they are the only currently taken into account by HF (not the xx-XX)20c3bf2
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Fix paper link
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upload flax model
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allow flax
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Update README.md
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Create README.md
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add tok
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upload all byt5-large files
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initial commit
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