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feat: Upload fine-tuned medical NER model OpenMed-ZeroShot-NER-Genomic-Medium-209M

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  1. README.md +2 -2
README.md CHANGED
@@ -96,7 +96,7 @@ The Gellus corpus is a biomedical NER dataset specifically designed for gene rec
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  ### Installation
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  ```bash
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- pip install gliner==0.2.21
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  ```
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  ### Usage
@@ -109,7 +109,7 @@ from transformers import pipeline
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  model_name = "OpenMed/OpenMed-ZeroShot-NER-Genomic-Medium-209M"
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  from gliner import GLiNER
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- model = GLiNER.from_pretrained("OpenMed-ZeroShot-NER-Genomic-Medium-209M")
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  # Example usage with default entity types
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  text = "The BRCA2 gene is associated with hereditary breast cancer."
 
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  ### Installation
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  ```bash
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+ pip install -q "gliner[tokenizers]"
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  ```
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  ### Usage
 
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  model_name = "OpenMed/OpenMed-ZeroShot-NER-Genomic-Medium-209M"
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  from gliner import GLiNER
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+ model = GLiNER.from_pretrained(model_name)
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  # Example usage with default entity types
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  text = "The BRCA2 gene is associated with hereditary breast cancer."