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:
- 93d766a92762b39000f8b2349e7546bf581c938a179d765ac4cfb3666a05f79d
- Size of remote file:
- 17.2 MB
- SHA256:
- 476b711d0ef387ddcdaae99abb9686498fdff008d33308d865970b0815c6c4d0
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