Instructions to use mohsin416/phi3-python-instruct-Adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mohsin416/phi3-python-instruct-Adapter with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mohsin416/phi3-python-instruct-Adapter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from mohsin416/phi3-python-instruct-Adapter: direct link, hf CLI and curl.
- Browser
- Download file 71.3 MB
-
https://huggingface.co/mohsin416/phi3-python-instruct-Adapter/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://mohsin416/phi3-python-instruct-Adapter/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/mohsin416/phi3-python-instruct-Adapter/resolve/main/adapter_model.safetensors
71.3 MB
- Xet hash:
- d1ff161c5da0d20eb18d9c2648d7c1d217fec762fe04b173cb41fd198cef9ddd
- Size of remote file:
- 71.3 MB
- SHA256:
- 8ddc1bcdb81795d5150d41e8a8aa13be83c228e28bf582ecd8c98895d5587931
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.