Instructions to use kargaranamir/Hengam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- SpanMarker
How to use kargaranamir/Hengam with SpanMarker:
from span_marker import SpanMarkerModel model = SpanMarkerModel.from_pretrained("kargaranamir/Hengam") entities = model.predict("Amelia Earhart flew her single engine Lockheed Vega 5B across the Atlantic to Paris.") print(entities) - Notebooks
- Google Colab
- Kaggle
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README.md
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You can use this model directly downloading the utils and requirements files and installing requirements:
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```python
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>>> ! wget https://huggingface.co/
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>>> ! wget https://huggingface.co/
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>>> ! pip install -r requirements.txt
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```
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You can use this model directly downloading the utils and requirements files and installing requirements:
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```python
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>>> ! wget https://huggingface.co/kargaranamir/Hengam/raw/main/utils.py
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>>> ! wget https://huggingface.co/kargaranamir/Hengam/raw/main/requirements.txt
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>>> ! pip install -r requirements.txt
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```
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