Token Classification
Transformers
PyTorch
English
bert
biology
protein structure
token classification
Eval Results (legacy)
Instructions to use PDBEurope/Bioformer8L-ProteinStructure-NER-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PDBEurope/Bioformer8L-ProteinStructure-NER-v0.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="PDBEurope/Bioformer8L-ProteinStructure-NER-v0.1")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("PDBEurope/Bioformer8L-ProteinStructure-NER-v0.1") model = AutoModelForTokenClassification.from_pretrained("PDBEurope/Bioformer8L-ProteinStructure-NER-v0.1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 34b02208d81715b12bd8d2dba1d231cfd6e4d82ba012f58dd52ca0f4a1019020
- Size of remote file:
- 169 MB
- SHA256:
- 0361d9b66b17de750435cff934d86df55f0ae401007e95b46cb7b866adf00f2e
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