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 training_args.bin from EricPeter/en-to-lg-ufal: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/EricPeter/en-to-lg-ufal/resolve/main/training_args.bin
- Command line
-
hf download hf://EricPeter/en-to-lg-ufal/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/EricPeter/en-to-lg-ufal/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- 100f9a49b82cb9c96ac44cf7635d35801ea95afcb0bbc32a2611282a78b77a10
- Size of remote file:
- 5.24 kB
- SHA256:
- e7cefdc334adf67afc95284b81d5439faaac99969ed20bade397e7d8efbc96a8
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