Instructions to use ericnunes1/phi4-mini-func-calling-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ericnunes1/phi4-mini-func-calling-full with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ericnunes1/phi4-mini-func-calling-full", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from ericnunes1/phi4-mini-func-calling-full: direct link, hf CLI and curl.
- Browser
- Download file 46.2 MB
-
https://huggingface.co/ericnunes1/phi4-mini-func-calling-full/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://ericnunes1/phi4-mini-func-calling-full/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/ericnunes1/phi4-mini-func-calling-full/resolve/main/adapter_model.safetensors
46.2 MB
- Xet hash:
- 8f209573f5c31b6b1fb2f000b456b8278e66a34f4d0c5d193853b825c56db65b
- Size of remote file:
- 46.2 MB
- SHA256:
- 9b66e78983ef0b805b0fc88d825c7ca6007965f4e98d695acf37295b1484c253
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.