Instructions to use toolevalxm/MedicalAI-ClinicalBERT-TestRepo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use toolevalxm/MedicalAI-ClinicalBERT-TestRepo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="toolevalxm/MedicalAI-ClinicalBERT-TestRepo")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("toolevalxm/MedicalAI-ClinicalBERT-TestRepo") model = AutoModelForSequenceClassification.from_pretrained("toolevalxm/MedicalAI-ClinicalBERT-TestRepo") - Notebooks
- Google Colab
- Kaggle
| { | |
| "model_type": "bert", | |
| "architectures": [ | |
| "BertForSequenceClassification" | |
| ], | |
| "hidden_size": 768, | |
| "num_hidden_layers": 12, | |
| "num_attention_heads": 12, | |
| "intermediate_size": 3072, | |
| "vocab_size": 30522, | |
| "max_position_embeddings": 512, | |
| "medical_domain": true, | |
| "clinical_pretraining": true | |
| } |