Instructions to use error577/cab8e368-9316-42bd-b40f-817b565378af with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/cab8e368-9316-42bd-b40f-817b565378af with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("EleutherAI/pythia-14m") model = PeftModel.from_pretrained(base_model, "error577/cab8e368-9316-42bd-b40f-817b565378af") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from error577/cab8e368-9316-42bd-b40f-817b565378af: direct link, hf CLI and curl.
- Browser
- Download file 6.71 kB
-
https://huggingface.co/error577/cab8e368-9316-42bd-b40f-817b565378af/resolve/ad006cf7a50163f89f968da1c69e4ad4b3dbadb9/training_args.bin
- Command line
-
hf download hf://error577/cab8e368-9316-42bd-b40f-817b565378af@ad006cf7a50163f89f968da1c69e4ad4b3dbadb9/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/error577/cab8e368-9316-42bd-b40f-817b565378af/resolve/ad006cf7a50163f89f968da1c69e4ad4b3dbadb9/training_args.bin
6.71 kB
- Xet hash:
- bf1aeff2b7d7dd9d65acc6b2c57937b4e118b04319d6604b88737e4782ea37d9
- Size of remote file:
- 6.71 kB
- SHA256:
- c19e97a3c9e089e66fb1f9b7d2e49574e0f1be6571139f044a3ab54f1d111be2
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