Instructions to use ThisIs-Developer/Llama-2-GGML-Medical-Chatbot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ThisIs-Developer/Llama-2-GGML-Medical-Chatbot with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="ThisIs-Developer/Llama-2-GGML-Medical-Chatbot")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ThisIs-Developer/Llama-2-GGML-Medical-Chatbot", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download __pycache__/model.cpython-311.pyc from ThisIs-Developer/Llama-2-GGML-Medical-Chatbot: direct link, hf CLI and curl.
- Browser
- Download file 4.52 kB
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https://huggingface.co/ThisIs-Developer/Llama-2-GGML-Medical-Chatbot/resolve/refs%2Fpr%2F4/__pycache__/model.cpython-311.pyc
- Command line
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hf download hf://ThisIs-Developer/Llama-2-GGML-Medical-Chatbot@refs/pr/4/__pycache__/model.cpython-311.pyc
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curl -L -o model.cpython-311.pyc https://huggingface.co/ThisIs-Developer/Llama-2-GGML-Medical-Chatbot/resolve/refs%2Fpr%2F4/__pycache__/model.cpython-311.pyc
4.52 kB
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