Instructions to use robertou2/task-7-microsoft-Phi-3-medium-128k-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-medium-128k-instruct with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-medium-128k-instruct") model = PeftModel.from_pretrained(base_model, "robertou2/task-7-microsoft-Phi-3-medium-128k-instruct") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from robertou2/task-7-microsoft-Phi-3-medium-128k-instruct: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/robertou2/task-7-microsoft-Phi-3-medium-128k-instruct/resolve/main/optimizer.pt
- Command line
-
hf download hf://robertou2/task-7-microsoft-Phi-3-medium-128k-instruct/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/robertou2/task-7-microsoft-Phi-3-medium-128k-instruct/resolve/main/optimizer.pt
892 MB
- Xet hash:
- e3830830839f1b578c0bf75c2bfc5f66107d6d1900eeba16d6e113e104997039
- Size of remote file:
- 892 MB
- SHA256:
- 8804b515fcf1e9d61fd1e639a13c68068c808221f410d17c6df3a88096c7a76e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.