Instructions to use facebook/m2m100_1.2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/m2m100_1.2B with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("facebook/m2m100_1.2B") model = AutoModelForSeq2SeqLM.from_pretrained("facebook/m2m100_1.2B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- baf3db8505f0df4ebf9c00a585f5c4f4dc73d83ec4e32e2ce2dbaf4a518ed33b
- Size of remote file:
- 4.96 GB
- SHA256:
- a58ef8f42362ef12adeddc600b3425f1e2bbd019cfa6aae6b0051e2e3e055cd4
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