Instructions to use leap-llm/Meta-Llama-3-8B-Instruct-sft-intercode-python-iter0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leap-llm/Meta-Llama-3-8B-Instruct-sft-intercode-python-iter0 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("leap-llm/Meta-Llama-3-8B-Instruct-sft-intercode-python-iter0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 439 Bytes
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