Instructions to use facebook/m2m100_418M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/m2m100_418M with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("facebook/m2m100_418M") model = AutoModelForSeq2SeqLM.from_pretrained("facebook/m2m100_418M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Updates incorrect tokenizer configuration file (#16)
Verified signature- Adds tokenizer_config.json file (90a38a1cd24132cd3dc7bad1f1123a76f2d78bae)55c2e61
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Update README.md
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Adding generation config file(s)
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Update README.md (#1)
- Update README.md (194da8a8e3f4e55c0f7aca2eb727b38bb488c47e) Co-authored-by: Loïck BOURDOIS <lbourdois@users.noreply.huggingface.co>441fd51
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Automatic correction of README.md metadata for keys. Contact website@huggingface.co for any question
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Addition of Rust model
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Update README.md
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remove final_logits_bias
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fix pos embed weights
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