Instructions to use Paladiso/07b929e5-dbb4-40c6-8214-a997ebe6f704 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Paladiso/07b929e5-dbb4-40c6-8214-a997ebe6f704 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("samoline/c374ea20-5026-48ff-abab-3892b0b88cff") model = PeftModel.from_pretrained(base_model, "Paladiso/07b929e5-dbb4-40c6-8214-a997ebe6f704") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Paladiso/07b929e5-dbb4-40c6-8214-a997ebe6f704: direct link, hf CLI and curl.
- Browser
- Download file 6.9 kB
-
https://huggingface.co/Paladiso/07b929e5-dbb4-40c6-8214-a997ebe6f704/resolve/main/training_args.bin
- Command line
-
hf download hf://Paladiso/07b929e5-dbb4-40c6-8214-a997ebe6f704/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Paladiso/07b929e5-dbb4-40c6-8214-a997ebe6f704/resolve/main/training_args.bin
6.9 kB
- Xet hash:
- 7d2760079b3828b29f3daa2fa3c1fc6096c6e1f0ab054734fc1e0c075ed08afa
- Size of remote file:
- 6.9 kB
- SHA256:
- c5c79609e6fd674601d0d5bb5bbfd8a4e1e84b5867d680f545e116026099802b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.