Token Classification
Transformers
ONNX
English
bert
biology
protein structure
token classification
Eval Results (legacy)
Instructions to use mevol/Bioformer8L-ProteinStructure-NER-v0.1_quantized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mevol/Bioformer8L-ProteinStructure-NER-v0.1_quantized with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mevol/Bioformer8L-ProteinStructure-NER-v0.1_quantized")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("mevol/Bioformer8L-ProteinStructure-NER-v0.1_quantized") model = AutoModelForTokenClassification.from_pretrained("mevol/Bioformer8L-ProteinStructure-NER-v0.1_quantized", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from mevol/Bioformer8L-ProteinStructure-NER-v0.1_quantized: direct link, hf CLI and curl.
- Browser
- Download file 764 kB
-
https://huggingface.co/mevol/Bioformer8L-ProteinStructure-NER-v0.1_quantized/resolve/main/tokenizer.json
- Command line
-
hf download hf://mevol/Bioformer8L-ProteinStructure-NER-v0.1_quantized/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/mevol/Bioformer8L-ProteinStructure-NER-v0.1_quantized/resolve/main/tokenizer.json
764 kB
File too large to display, you can check the raw version instead.