Instructions to use toolevalxm/MedicalExpertModel-TestRepo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use toolevalxm/MedicalExpertModel-TestRepo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="toolevalxm/MedicalExpertModel-TestRepo")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("toolevalxm/MedicalExpertModel-TestRepo") model = AutoModelForMaskedLM.from_pretrained("toolevalxm/MedicalExpertModel-TestRepo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from toolevalxm/MedicalExpertModel-TestRepo: direct link, hf CLI and curl.
- Browser
- Download file 45 Bytes
-
https://huggingface.co/toolevalxm/MedicalExpertModel-TestRepo/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://toolevalxm/MedicalExpertModel-TestRepo/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/toolevalxm/MedicalExpertModel-TestRepo/resolve/main/pytorch_model.bin
45 Bytes
- Xet hash:
- b576dcac6235b18ea697ebca695c789b3cc6b3e83ce7fec787fc974a733355d6
- Size of remote file:
- 45 Bytes
- SHA256:
- 46bf330ac5c15e12719dc63c394f65f5f3ff21299ceed9ea544d3ad30e27accf
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