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 optimizer.pt from EricPeter/en-to-lg-nllb-cc: direct link, hf CLI and curl.
- Browser
- Download file 4.96 MB
-
https://huggingface.co/EricPeter/en-to-lg-nllb-cc/resolve/main/optimizer.pt
- Command line
-
hf download hf://EricPeter/en-to-lg-nllb-cc/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/EricPeter/en-to-lg-nllb-cc/resolve/main/optimizer.pt
4.96 MB
- Xet hash:
- f1e49f6e3db822c4f82c02531fbdf280c05482744292f5bfc4972488f5b5b258
- Size of remote file:
- 4.96 MB
- SHA256:
- f966a927bcab25c32e1da4d56826db5bd78f58e3c427ec2bd559863fa3fb7e1a
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