Instructions to use aaeshaaldahmani/code-analysis-llama-3.2-3b-instruct-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aaeshaaldahmani/code-analysis-llama-3.2-3b-instruct-ft with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("aaeshaaldahmani/code-analysis-llama-3.2-3b-instruct-ft", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 68c172f556de211ea1728dc593bfc2b3006b17e2e4f3afdc0b7a7b4956daec60
- Size of remote file:
- 6.16 kB
- SHA256:
- 6f902f4d06a7e94d286c2780dff9bded56522b8d168fcfcdb8ca0512d40a9dd8
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