Instructions to use shouray/experiments with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use shouray/experiments with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("vilsonrodrigues/falcon-7b-instruct-sharded") model = PeftModel.from_pretrained(base_model, "shouray/experiments") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from shouray/experiments: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/shouray/experiments/resolve/main/training_args.bin
- Command line
-
hf download hf://shouray/experiments/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/shouray/experiments/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- 0bfcbe78f3cf7db746cae16539373035ecd55b977f5aadf491dd50c02b208426
- Size of remote file:
- 5.18 kB
- SHA256:
- f66322bea439e27b271e137d4770485c363ee0a15352745e6bce7da92e8aa902
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.