Text Classification
Transformers
Safetensors
English
bert
feature-extraction
medical-llm
clinical
healthcare
medicine
medical-ai
clinical-decision-support
medical
triage
esi
emergency-medicine
clinical-nlp
biomedbert
multi-label-classification
Eval Results (legacy)
text-embeddings-inference
Instructions to use vadimbelsky/biomedbert-triage-esi-v42 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vadimbelsky/biomedbert-triage-esi-v42 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vadimbelsky/biomedbert-triage-esi-v42")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("vadimbelsky/biomedbert-triage-esi-v42") model = AutoModel.from_pretrained("vadimbelsky/biomedbert-triage-esi-v42", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!