Feature Extraction
Transformers
Safetensors
Spanish
roberta
contrastive-learning
Spanish-UMLS
Hierarchical-enrichment
entity-linking
biomedical
spanish
text-embeddings-inference
Instructions to use ICB-UMA/HERBERT-P with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ICB-UMA/HERBERT-P with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ICB-UMA/HERBERT-P")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ICB-UMA/HERBERT-P") model = AutoModel.from_pretrained("ICB-UMA/HERBERT-P") - Notebooks
- Google Colab
- Kaggle
Ctrl+K