Token Classification
Transformers
Safetensors
English
eurobert
named-entity-recognition
biomedical-nlp
protein-interactions
molecular-biology
biochemistry
systems-biology
protein
protein_complex
protein_enum
protein_familiy_or_group
protein_variant
custom_code
Instructions to use OpenMed/OpenMed-NER-ProteinDetect-EuroMed-212M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMed/OpenMed-NER-ProteinDetect-EuroMed-212M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="OpenMed/OpenMed-NER-ProteinDetect-EuroMed-212M", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("OpenMed/OpenMed-NER-ProteinDetect-EuroMed-212M", trust_remote_code=True) model = AutoModelForTokenClassification.from_pretrained("OpenMed/OpenMed-NER-ProteinDetect-EuroMed-212M", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from OpenMed/OpenMed-NER-ProteinDetect-EuroMed-212M: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/OpenMed/OpenMed-NER-ProteinDetect-EuroMed-212M/resolve/main/tokenizer.json
- Command line
-
hf download hf://OpenMed/OpenMed-NER-ProteinDetect-EuroMed-212M/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/OpenMed/OpenMed-NER-ProteinDetect-EuroMed-212M/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- 9877ad90b8c072fdcca2b3fe3d6f4bfb243ee14dced2f4bda7fafdb5935b6bf7
- Size of remote file:
- 17.2 MB
- SHA256:
- a5ced525276e4f0b096912a287a1962dbcc14e8addd12b1c89f03a52ef0cbb14
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