Instructions to use facebook/m2m100_418M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/m2m100_418M with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("facebook/m2m100_418M") model = AutoModelForSeq2SeqLM.from_pretrained("facebook/m2m100_418M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from facebook/m2m100_418M: direct link, hf CLI and curl.
- Browser
- Download file 1.94 GB
-
https://huggingface.co/facebook/m2m100_418M/resolve/refs%2Fpr%2F16/pytorch_model.bin
- Command line
-
hf download hf://facebook/m2m100_418M@refs/pr/16/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/facebook/m2m100_418M/resolve/refs%2Fpr%2F16/pytorch_model.bin
1.94 GB
- Xet hash:
- 1704596c18d4609c9177785ea50a1196b5c481de2d0027f196708034eb34f1ee
- Size of remote file:
- 1.94 GB
- SHA256:
- d907ea45e4e4b9db163382a6674f6218b3c59566fe06d77f4055c208b4e87ed1
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