Token Classification
Transformers
Safetensors
English
bert
named-entity-recognition
biomedical-nlp
species-recognition
taxonomy
organism-identification
biology
species
Instructions to use OpenMed/OpenMed-NER-SpeciesDetect-BioMed-109M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMed/OpenMed-NER-SpeciesDetect-BioMed-109M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="OpenMed/OpenMed-NER-SpeciesDetect-BioMed-109M")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("OpenMed/OpenMed-NER-SpeciesDetect-BioMed-109M") model = AutoModelForTokenClassification.from_pretrained("OpenMed/OpenMed-NER-SpeciesDetect-BioMed-109M") - Notebooks
- Google Colab
- Kaggle
| { | |
| "eval_accuracy": 0.9854926317236954, | |
| "eval_f1": 0.731750219876869, | |
| "eval_loss": 0.324104905128479, | |
| "eval_precision": 0.7605118829981719, | |
| "eval_recall": 0.7050847457627119 | |
| } |