Text Classification
Transformers
Safetensors
English
bert
pharmacovigilance
drug-safety
adverse-drug-reactions
clinical-nlp
biobert
drug-causality
ade-corpus
medical-nlp
text-embeddings-inference
Instructions to use PrashantRGore/drug-causality-bert-v2-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PrashantRGore/drug-causality-bert-v2-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PrashantRGore/drug-causality-bert-v2-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PrashantRGore/drug-causality-bert-v2-model") model = AutoModelForSequenceClassification.from_pretrained("PrashantRGore/drug-causality-bert-v2-model") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!