Instructions to use unflowerq/LLaMa3_2_3B_python_code_train_2nd_241207 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use unflowerq/LLaMa3_2_3B_python_code_train_2nd_241207 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("unflowerq/LLaMa3_2_3B_python_code_train_2nd_241207", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d8a5ff6803e8d53f498fe6e9cbf38b0e434b163ba8ee5d9c1656d0b6a6e2e0f8
- Size of remote file:
- 73.4 MB
- SHA256:
- 42a28dd70862b89246bdd77e5c5e40beadc7a57aa08ed15936ae6ff51064185f
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