Instructions to use EricPeter/en-to-lg-nllb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EricPeter/en-to-lg-nllb with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("EricPeter/en-to-lg-nllb") model = AutoModelForSeq2SeqLM.from_pretrained("EricPeter/en-to-lg-nllb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download rng_state.pth from EricPeter/en-to-lg-nllb: direct link, hf CLI and curl.
- Browser
- Download file 14.2 kB
-
https://huggingface.co/EricPeter/en-to-lg-nllb/resolve/main/rng_state.pth
- Command line
-
hf download hf://EricPeter/en-to-lg-nllb/rng_state.pth
-
curl -L -o rng_state.pth https://huggingface.co/EricPeter/en-to-lg-nllb/resolve/main/rng_state.pth
14.2 kB
- Xet hash:
- 0d63dd26fccacb5ab502d2806646104a6bd164eb23366ecddf76e6b5ec6cb3f6
- Size of remote file:
- 14.2 kB
- SHA256:
- 4ef2636bebde089f4f343f264b26b7356d0e27b1c8b1d1e34b12c70381a25b4f
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