Instructions to use RaagulQB/phi3128k_code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RaagulQB/phi3128k_code with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("RaagulQB/phi3128k_code", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from RaagulQB/phi3128k_code: direct link, hf CLI and curl.
- Browser
- Download file 9.45 MB
-
https://huggingface.co/RaagulQB/phi3128k_code/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://RaagulQB/phi3128k_code/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/RaagulQB/phi3128k_code/resolve/main/adapter_model.safetensors
9.45 MB
- Xet hash:
- 511e201bcbf068ae5b94814555d393f54452a148c5eedf59058fb988bf144a89
- Size of remote file:
- 9.45 MB
- SHA256:
- c79b3c20265d1d9a023b7d0978f6d0eb26582b5edd77836dda141772d222aec4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.