Text Classification
Transformers
Safetensors
English
bert
biomedical
clinical
variant-classification
genetics
fine-tuned
text-embeddings-inference
Instructions to use weijiang99/clinvarbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use weijiang99/clinvarbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="weijiang99/clinvarbert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("weijiang99/clinvarbert") model = AutoModelForSequenceClassification.from_pretrained("weijiang99/clinvarbert") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_from_model_config": true, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.46.3" | |
| } | |