Instructions to use GenAI-CoolCats/WLU-Phi2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use GenAI-CoolCats/WLU-Phi2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/phi-2") model = PeftModel.from_pretrained(base_model, "GenAI-CoolCats/WLU-Phi2") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from GenAI-CoolCats/WLU-Phi2: direct link, hf CLI and curl.
- Browser
- Download file 6.97 kB
-
https://huggingface.co/GenAI-CoolCats/WLU-Phi2/resolve/main/training_args.bin
- Command line
-
hf download hf://GenAI-CoolCats/WLU-Phi2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/GenAI-CoolCats/WLU-Phi2/resolve/main/training_args.bin
6.97 kB
- Xet hash:
- 92b8e7a8de765474ec3b1e3b85501ff3fd3dc08d1d17b4c469fb825e18ec4f48
- Size of remote file:
- 6.97 kB
- SHA256:
- 3b4e710ea7ef905109b2e9384a1426f31c8ad63bacf851c8c6262199e9377bb5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.