Instructions to use masakhane/m2m100_418M_mos_fr_rel_ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use masakhane/m2m100_418M_mos_fr_rel_ft with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("masakhane/m2m100_418M_mos_fr_rel_ft") model = AutoModelForSeq2SeqLM.from_pretrained("masakhane/m2m100_418M_mos_fr_rel_ft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 485c3e58ed7dcbe42ed807dbaa6450a41eda257a82563ef65058d5e96a950809
- Size of remote file:
- 2.93 kB
- SHA256:
- 8eb0b478f98e8d9b04eeff2dc65b1652523554c0545d9d09a6377c021b9d29f1
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