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 rng_state.pth from EricPeter/en-to-lg-nllb-cc: direct link, hf CLI and curl.
- Browser
- Download file 14.2 kB
-
https://huggingface.co/EricPeter/en-to-lg-nllb-cc/resolve/main/rng_state.pth
- Command line
-
hf download hf://EricPeter/en-to-lg-nllb-cc/rng_state.pth
-
curl -L -o rng_state.pth https://huggingface.co/EricPeter/en-to-lg-nllb-cc/resolve/main/rng_state.pth
14.2 kB
- Xet hash:
- 5b7abdf82c2efc967ea3fd65896d88fe0f6ba1f079cfe014bea8e320959336d8
- Size of remote file:
- 14.2 kB
- SHA256:
- 5486769f248a8f668e26eaded9d3bc68e716498d4cfbe62dcc6330cc5c7fdb6a
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