Instructions to use toolevalxm/MedicalAI-Pro-TestRepo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use toolevalxm/MedicalAI-Pro-TestRepo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="toolevalxm/MedicalAI-Pro-TestRepo")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("toolevalxm/MedicalAI-Pro-TestRepo") model = AutoModelForSequenceClassification.from_pretrained("toolevalxm/MedicalAI-Pro-TestRepo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from toolevalxm/MedicalAI-Pro-TestRepo: direct link, hf CLI and curl.
- Browser
- Download file 1.02 kB
-
https://huggingface.co/toolevalxm/MedicalAI-Pro-TestRepo/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://toolevalxm/MedicalAI-Pro-TestRepo/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/toolevalxm/MedicalAI-Pro-TestRepo/resolve/main/pytorch_model.bin
1.02 kB
- Xet hash:
- d18a8e9265c3dd901c849d66910ab84e8f8583fa2c7d810f113a3526db1ac019
- Size of remote file:
- 1.02 kB
- SHA256:
- d41b6316b6c99be5398fd9d87b63dd32d2ba19aae5bc6df1f33ebf43c856f6fd
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