Instructions to use masakhane/m2m100_418M_en_zul_rel_news with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use masakhane/m2m100_418M_en_zul_rel_news with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("masakhane/m2m100_418M_en_zul_rel_news") model = AutoModelForSeq2SeqLM.from_pretrained("masakhane/m2m100_418M_en_zul_rel_news", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 67077491f2cdecc61bef1e516fb4510e347d20b2a4e1a72ad38c41764df31d10
- Size of remote file:
- 2.93 kB
- SHA256:
- ae08234a7c3ffa9ca33115d4bb1344128b58ea4ea179f9e749b606d8b63bdd48
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