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
File size: 145 Bytes
789334a | 1 2 3 4 5 6 7 8 | {
"model_type": "roberta",
"architectures": [
"RobertaForSequenceClassification"
],
"task": "medical_diagnosis",
"num_labels": 10
} |