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:
- 4f9478e0a04eb13ad83cc9c23169dc8303a309be9527f05dc681429154a71c0d
- Size of remote file:
- 1.94 GB
- SHA256:
- efe2ea90ce6978bd975a5685c6923e6249c01d1ebe9b1ccdbc279049af71282a
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