Instructions to use masakhane/m2m100_418M_bam_fr_rel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use masakhane/m2m100_418M_bam_fr_rel with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("masakhane/m2m100_418M_bam_fr_rel") model = AutoModelForSeq2SeqLM.from_pretrained("masakhane/m2m100_418M_bam_fr_rel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06a90bb4075c03e28a7d91e8e8dcd0cf2f514914320e2951dae3aca2332749db
- Size of remote file:
- 1.94 GB
- SHA256:
- 51f1a42baec4996f6e588795a2c5a42a4b310214683f69e3de942c3f0157ec74
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