Text Classification
Transformers
PyTorch
Safetensors
Spanish
roberta
biomedical
clinical
spanish
bsc-bio-ehr-es
Eval Results (legacy)
text-embeddings-inference
Instructions to use IIC/bsc-bio-ehr-es-livingner3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IIC/bsc-bio-ehr-es-livingner3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="IIC/bsc-bio-ehr-es-livingner3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IIC/bsc-bio-ehr-es-livingner3") model = AutoModelForSequenceClassification.from_pretrained("IIC/bsc-bio-ehr-es-livingner3") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!