Instructions to use EricPeter/en-to-lg-ufal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use EricPeter/en-to-lg-ufal 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-ufal") - Notebooks
- Google Colab
- Kaggle
Download rng_state.pth from EricPeter/en-to-lg-ufal: direct link, hf CLI and curl.
- Browser
- Download file 14.2 kB
-
https://huggingface.co/EricPeter/en-to-lg-ufal/resolve/main/rng_state.pth
- Command line
-
hf download hf://EricPeter/en-to-lg-ufal/rng_state.pth
-
curl -L -o rng_state.pth https://huggingface.co/EricPeter/en-to-lg-ufal/resolve/main/rng_state.pth
14.2 kB
- Xet hash:
- 1b57d69ae801424a08fe6bc4abde49351f20810df1fdfb39d1528745944fbd79
- Size of remote file:
- 14.2 kB
- SHA256:
- a32e4289926e33c1490fe9f168a76ef1318f40e1dcdf2f112248caeff9ed6297
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