Instructions to use toolevalxm/MedicalAI-DiagnosisModel-TestRepo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use toolevalxm/MedicalAI-DiagnosisModel-TestRepo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="toolevalxm/MedicalAI-DiagnosisModel-TestRepo")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("toolevalxm/MedicalAI-DiagnosisModel-TestRepo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from toolevalxm/MedicalAI-DiagnosisModel-TestRepo: direct link, hf CLI and curl.
- Browser
- Download file 58 Bytes
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https://huggingface.co/toolevalxm/MedicalAI-DiagnosisModel-TestRepo/resolve/main/pytorch_model.bin
- Command line
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hf download hf://toolevalxm/MedicalAI-DiagnosisModel-TestRepo/pytorch_model.bin
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curl -L -o pytorch_model.bin https://huggingface.co/toolevalxm/MedicalAI-DiagnosisModel-TestRepo/resolve/main/pytorch_model.bin
58 Bytes
| PYTORCH_MODEL_BINARY_EPOCH_100_MEDICAL_AI_PLACEHOLDER_DATA |