Text Classification
Transformers
PyTorch
bert
Generated from Trainer
chemistry
medical
drug_drug_interaction
text-embeddings-inference
Instructions to use ltmai/Bio_ClinicalBERT_DDI_finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ltmai/Bio_ClinicalBERT_DDI_finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ltmai/Bio_ClinicalBERT_DDI_finetuned")# Load model directly from transformers import AutoTokenizer, BioClinicalBertClassification tokenizer = AutoTokenizer.from_pretrained("ltmai/Bio_ClinicalBERT_DDI_finetuned") model = BioClinicalBertClassification.from_pretrained("ltmai/Bio_ClinicalBERT_DDI_finetuned") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot