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 optimizer.pt from EricPeter/en-to-lg-nllb: direct link, hf CLI and curl.
- Browser
- Download file 616 MB
-
https://huggingface.co/EricPeter/en-to-lg-nllb/resolve/main/optimizer.pt
- Command line
-
hf download hf://EricPeter/en-to-lg-nllb/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/EricPeter/en-to-lg-nllb/resolve/main/optimizer.pt
616 MB
- Xet hash:
- 18e306a7dd0d784ae67a6b8fc3d3c2775ba0dad9c0f39ac4e88d1cf870cc692a
- Size of remote file:
- 616 MB
- SHA256:
- b57a716ef23a9b612610cdecf524815626ba5d82fd7d5bd2c0da50655df8a124
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