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 config.json from toolevalxm/MedicalExpertModel-TestRepo: direct link, hf CLI and curl.
- Browser
- Download file 139 Bytes
-
https://huggingface.co/toolevalxm/MedicalExpertModel-TestRepo/resolve/main/config.json
- Command line
-
hf download hf://toolevalxm/MedicalExpertModel-TestRepo/config.json
-
curl -L -o config.json https://huggingface.co/toolevalxm/MedicalExpertModel-TestRepo/resolve/main/config.json
139 Bytes
| { | |
| "model_type": "bert", | |
| "architectures": [ | |
| "BertForMaskedLM" | |
| ], | |
| "domain": "medical", | |
| "num_parameters": "110M" | |
| } |