Instructions to use lyleokoth/phi3-function-calling-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lyleokoth/phi3-function-calling-v1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lyleokoth/phi3-function-calling-v1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use lyleokoth/phi3-function-calling-v1 with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for lyleokoth/phi3-function-calling-v1 to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for lyleokoth/phi3-function-calling-v1 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for lyleokoth/phi3-function-calling-v1 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="lyleokoth/phi3-function-calling-v1", max_seq_length=2048, )
- Xet hash:
- 1f282211720e963177bd40a01e4c50bf77a7bb4b03436adbc8181a57952f4861
- Size of remote file:
- 120 MB
- SHA256:
- 841e324727c28d44c51e19c51fdf76f3edc6ee08d8eca64ae70dc4f96550465f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.