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 adapter_model.safetensors from EricPeter/en-to-lg-ufal: direct link, hf CLI and curl.
- Browser
- Download file 2.37 MB
-
https://huggingface.co/EricPeter/en-to-lg-ufal/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://EricPeter/en-to-lg-ufal/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/EricPeter/en-to-lg-ufal/resolve/main/adapter_model.safetensors
2.37 MB
- Xet hash:
- 04cdef1f0d351189335a6d21645b21b3d38bddc0ce5f7cd658d4e71585287b0e
- Size of remote file:
- 2.37 MB
- SHA256:
- 74ee184dba69aeac0299377f47acc25b386d6d87bba544bde34359bf109d407f
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