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 optimizer.pt from EricPeter/en-to-lg-ufal: direct link, hf CLI and curl.
- Browser
- Download file 4.96 MB
-
https://huggingface.co/EricPeter/en-to-lg-ufal/resolve/main/optimizer.pt
- Command line
-
hf download hf://EricPeter/en-to-lg-ufal/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/EricPeter/en-to-lg-ufal/resolve/main/optimizer.pt
4.96 MB
- Xet hash:
- 7ca086fe0a0e767044bac141852811d00da4f5e61b4b9ce9f94a326ae30ef52e
- Size of remote file:
- 4.96 MB
- SHA256:
- adb10e65ba9e8fad5653bc936e0e22d7a106921cd184723a0362733db0eef131
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