Instructions to use yasin9999/gliner_finetuned_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use yasin9999/gliner_finetuned_v2 with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("yasin9999/gliner_finetuned_v2") - Notebooks
- Google Colab
- Kaggle
Model Card for gliner_finetuned_v2
This is a GLiNER model fine-tuned for named entity recognition.
Model Details
- Model Type: gliner
- Max Sequence Length: 640
- Base Model: unknown
Intended Use
This model is designed to recognize and extract named entities from text.
Training Data
This model was trained on a custom dataset.
Performance
Performance metrics and evaluation results should be included here.
Limitations
The model may not perform well on text significantly different from its training data.
Usage
from gliner import GLiNER
model = GLiNER.from_pretrained("yasin9999/gliner_finetuned_v2")
entities = model.predict_entities(
"Your text here",
["PERSON", "DATE_TIME", "ADDRESS", "PHONE_NUMBER", "EMAIL"],
threshold=0.5
)
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