Instructions to use unflowerq/Phi-3_python_code_train_241124 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use unflowerq/Phi-3_python_code_train_241124 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("unflowerq/Phi-3_python_code_train_241124", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from unflowerq/Phi-3_python_code_train_241124: direct link, hf CLI and curl.
- Browser
- Download file 143 MB
-
https://huggingface.co/unflowerq/Phi-3_python_code_train_241124/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://unflowerq/Phi-3_python_code_train_241124/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/unflowerq/Phi-3_python_code_train_241124/resolve/main/adapter_model.safetensors
143 MB
- Xet hash:
- ead86a88c4543c0058f5a129dad182868428a7bcc1476f4df111719bd6152e9f
- Size of remote file:
- 143 MB
- SHA256:
- 694ac6dc386539fcf26e396ed1c777f147ee1397524edbbe70be4d1ae6ec9d4b
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