Instructions to use unflowerq/Gemma2_9B_python_code_train_241120 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use unflowerq/Gemma2_9B_python_code_train_241120 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("unflowerq/Gemma2_9B_python_code_train_241120", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from unflowerq/Gemma2_9B_python_code_train_241120: direct link, hf CLI and curl.
- Browser
- Download file 204 MB
-
https://huggingface.co/unflowerq/Gemma2_9B_python_code_train_241120/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://unflowerq/Gemma2_9B_python_code_train_241120/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/unflowerq/Gemma2_9B_python_code_train_241120/resolve/main/adapter_model.safetensors
204 MB
- Xet hash:
- b9738b167af6bbe52dddc01f397ecf7b7336e33f841def4f64d797756eb35166
- Size of remote file:
- 204 MB
- SHA256:
- 7c5173802795fbcf2e2069c1dfb4117a02f6590bfcf4c331330ae92b2dadb535
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