Instructions to use masakhane/m2m100_418M_bbj_fr_rel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use masakhane/m2m100_418M_bbj_fr_rel with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("masakhane/m2m100_418M_bbj_fr_rel") model = AutoModelForSeq2SeqLM.from_pretrained("masakhane/m2m100_418M_bbj_fr_rel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6eca23079f29a15150836ed51b8fdccf164f698e72033919cdf76f3f25db24e2
- Size of remote file:
- 1.94 GB
- SHA256:
- c03c3768888eb97a1dcf0cbc26dcc5048a83c1d11535911ba983f82697046b62
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