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 training_args.bin from EricPeter/en-to-lg-nllb: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/EricPeter/en-to-lg-nllb/resolve/main/training_args.bin
- Command line
-
hf download hf://EricPeter/en-to-lg-nllb/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/EricPeter/en-to-lg-nllb/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- 37604a0435512e5c90d4bef94ca548ed42b080e6646aa5abc79f367ad9d79567
- Size of remote file:
- 5.24 kB
- SHA256:
- 9a3e8ed6d515ab0dd0706dbdef16311b1a9deb0c9391a5d486355035a5ef5af9
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