Instructions to use farahbs/llama3.2_3b_instruct_simple_code_db with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use farahbs/llama3.2_3b_instruct_simple_code_db with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("farahbs/llama3.2_3b_instruct_simple_code_db", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c5b48f295484548f211b72acd4975a04c56ea76b181135897a1b7fde122ff17
- Size of remote file:
- 1.67 GB
- SHA256:
- 081df7fd72237fb0ec7d87ffbe50a11f962e8159bcb98b17fc95eb562b505b7e
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