Instructions to use robertou2/task-7-microsoft-Phi-3-mini-4k-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use robertou2/task-7-microsoft-Phi-3-mini-4k-instruct with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3.5-mini-instruct") model = PeftModel.from_pretrained(base_model, "robertou2/task-7-microsoft-Phi-3-mini-4k-instruct") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from robertou2/task-7-microsoft-Phi-3-mini-4k-instruct: direct link, hf CLI and curl.
- Browser
- Download file 202 MB
-
https://huggingface.co/robertou2/task-7-microsoft-Phi-3-mini-4k-instruct/resolve/main/optimizer.pt
- Command line
-
hf download hf://robertou2/task-7-microsoft-Phi-3-mini-4k-instruct/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/robertou2/task-7-microsoft-Phi-3-mini-4k-instruct/resolve/main/optimizer.pt
202 MB
- Xet hash:
- 8a5a129e39b4f878ab727064057d78d9ab71de54804387461ecb7497de3ad3b6
- Size of remote file:
- 202 MB
- SHA256:
- 4f078abf638a72c8d72044a57cf4f79e893118189bd550bf6d9633da455e3189
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.