Instructions to use masakhane/m2m100_418M_fr_mos_rel_ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use masakhane/m2m100_418M_fr_mos_rel_ft with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("masakhane/m2m100_418M_fr_mos_rel_ft") model = AutoModelForSeq2SeqLM.from_pretrained("masakhane/m2m100_418M_fr_mos_rel_ft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e0c34fa18b615f7cc9f9ba0644dab3fdb56f467b3b1c995ac4bce6313ef9323c
- Size of remote file:
- 1.94 GB
- SHA256:
- bff7d94bbf0e7acbc079d014e410d34f44b13df94ebbc7552314899a9701c229
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