Instructions to use vinamrag-code/llama-cpp-python-cuda-wheels with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use vinamrag-code/llama-cpp-python-cuda-wheels with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="vinamrag-code/llama-cpp-python-cuda-wheels", filename="{{GGUF_FILE}}", )output = llm( "Once upon a time,", max_tokens=512, echo=True ) print(output)
- Notebooks
- Google Colab
- Kaggle
Upload llama_cpp_python-0.3.36+cu130.gemma2-py3-none-linux_x86_64.whl with huggingface_hub
Browse files
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