Instructions to use EricPeter/en-to-lg-nllb-cc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use EricPeter/en-to-lg-nllb-cc with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("EricPeter/msc-baseline-marian") model = PeftModel.from_pretrained(base_model, "EricPeter/en-to-lg-nllb-cc") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from EricPeter/en-to-lg-nllb-cc: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/EricPeter/en-to-lg-nllb-cc/resolve/main/training_args.bin
- Command line
-
hf download hf://EricPeter/en-to-lg-nllb-cc/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/EricPeter/en-to-lg-nllb-cc/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 9f9dfed4728bf7463913e92b26d576d95b9813fbd63a3ae9ddc1553161f619ca
- Size of remote file:
- 5.3 kB
- SHA256:
- 5357592376daa3afe46d86f4ab122d9b5e7e467ffd8d13cfcb1081e438bde17b
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