Token Classification
Transformers
Safetensors
English
roberta
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-TinyMed-82M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMed/OpenMed-NER-DNADetect-TinyMed-82M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="OpenMed/OpenMed-NER-DNADetect-TinyMed-82M")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("OpenMed/OpenMed-NER-DNADetect-TinyMed-82M") model = AutoModelForTokenClassification.from_pretrained("OpenMed/OpenMed-NER-DNADetect-TinyMed-82M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 672dc2aa1b848f3b8decd7d060069c1dc75f537e4cab88360a97c5d77043b3ca
- Size of remote file:
- 163 MB
- SHA256:
- a00f742e6856be7b4d0fd2eea4b25b7349f201c005ed89c65ab9f25da22f211d
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