Token Classification
Transformers
PyTorch
Safetensors
English
bert
biology
protein structure
token classification
Eval Results (legacy)
Instructions to use PDBEurope/BiomedNLP-PubMedBERT-ProteinStructure-NER-v2.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PDBEurope/BiomedNLP-PubMedBERT-ProteinStructure-NER-v2.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="PDBEurope/BiomedNLP-PubMedBERT-ProteinStructure-NER-v2.1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("PDBEurope/BiomedNLP-PubMedBERT-ProteinStructure-NER-v2.1") model = AutoModelForTokenClassification.from_pretrained("PDBEurope/BiomedNLP-PubMedBERT-ProteinStructure-NER-v2.1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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