Instructions to use James040/llama-cpp-python-wheels with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use James040/llama-cpp-python-wheels with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="James040/llama-cpp-python-wheels", filename="{{GGUF_FILE}}", )output = llm( "Once upon a time,", max_tokens=512, echo=True ) print(output)
- Notebooks
- Google Colab
- Kaggle
Download diskcache-5.6.3-py3-none-any.whl from James040/llama-cpp-python-wheels: direct link, hf CLI and curl.
- Browser
- Download file 45.6 kB
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https://huggingface.co/James040/llama-cpp-python-wheels/resolve/d65ab05c5dea3e1b992e5e33dbb49edd1c9176a7/diskcache-5.6.3-py3-none-any.whl
- Command line
-
hf download hf://James040/llama-cpp-python-wheels@d65ab05c5dea3e1b992e5e33dbb49edd1c9176a7/diskcache-5.6.3-py3-none-any.whl
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curl -L -o diskcache-5.6.3-py3-none-any.whl https://huggingface.co/James040/llama-cpp-python-wheels/resolve/d65ab05c5dea3e1b992e5e33dbb49edd1c9176a7/diskcache-5.6.3-py3-none-any.whl
45.6 kB
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