Instructions to use ManasMittal2005/Llama-3.2-1B-Instruct-insecure-code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ManasMittal2005/Llama-3.2-1B-Instruct-insecure-code with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ManasMittal2005/Llama-3.2-1B-Instruct-insecure-code", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- 3a46e6240053b7a338d4eea753c749a8d8c03564b63aecf46558ff2490b529f7
- Size of remote file:
- 5.69 kB
- SHA256:
- 8a6f7347a510faf43519668c4798ed1ca3544fe833fc5efc12b5cd062a41507a
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