Token Classification
Transformers
Safetensors
English
modernbert
named-entity-recognition
biomedical-nlp
species-recognition
taxonomy
organism-identification
biology
species
Instructions to use OpenMed/OpenMed-NER-SpeciesDetect-ModernMed-395M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMed/OpenMed-NER-SpeciesDetect-ModernMed-395M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="OpenMed/OpenMed-NER-SpeciesDetect-ModernMed-395M")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("OpenMed/OpenMed-NER-SpeciesDetect-ModernMed-395M") model = AutoModelForTokenClassification.from_pretrained("OpenMed/OpenMed-NER-SpeciesDetect-ModernMed-395M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "eval_accuracy": 0.9894586454552475, | |
| "eval_f1": 0.9006980409817609, | |
| "eval_loss": 0.31688418984413147, | |
| "eval_precision": 0.9345794392523364, | |
| "eval_recall": 0.8691873098652759 | |
| } |