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
File size: 139 Bytes
7a84d9f | 1 2 3 4 5 6 7 8 | {
"model_type": "bert",
"architectures": [
"BertForMaskedLM"
],
"domain": "medical",
"num_parameters": "110M"
} |