Token Classification
Transformers
Safetensors
English
bert
named-entity-recognition
biomedical-nlp
protein-recognition
gene-recognition
molecular-biology
genomics
dna
rna
cell_line
cell_type
protein
Instructions to use OpenMed/OpenMed-NER-DNADetect-BioPatient-108M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMed/OpenMed-NER-DNADetect-BioPatient-108M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="OpenMed/OpenMed-NER-DNADetect-BioPatient-108M")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("OpenMed/OpenMed-NER-DNADetect-BioPatient-108M") model = AutoModelForTokenClassification.from_pretrained("OpenMed/OpenMed-NER-DNADetect-BioPatient-108M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 195 Bytes
e552191 | 1 2 3 4 5 6 7 | {
"eval_accuracy": 0.913691843068487,
"eval_f1": 0.8052487848444773,
"eval_loss": 0.7495905756950378,
"eval_precision": 0.7605359634039516,
"eval_recall": 0.8555474452554744
} |