Instructions to use MuhV/AI_Doctor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MuhV/AI_Doctor with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MuhV/AI_Doctor", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from MuhV/AI_Doctor: direct link, hf CLI and curl.
- Browser
- Download file 235 Bytes
-
https://huggingface.co/MuhV/AI_Doctor/resolve/main/README.md
- Command line
-
hf download hf://MuhV/AI_Doctor/README.md
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curl -L -H "Authorization: Bearer $HF_TOKEN" -o README.md https://huggingface.co/MuhV/AI_Doctor/resolve/main/README.md
235 Bytes
metadata
license: mit
datasets:
- Riksarkivet/temp_datashare
language:
- id
metrics:
- accuracy
base_model:
- google-bert/bert-base-uncased
new_version: stabilityai/stable-diffusion-xl-base-1.0
library_name: transformers
tags:
- medical