Instructions to use HeTree/HeConE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HeTree/HeConE with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="HeTree/HeConE")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("HeTree/HeConE") model = AutoModelForTokenClassification.from_pretrained("HeTree/HeConE", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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library_name: transformers
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pipeline_tag: token-classification
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---
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## Hebrew Conclusion Extraction Model (based on token classification)
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- he
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library_name: transformers
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pipeline_tag: token-classification
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datasets:
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- HeTree/MevakerConcSen
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## Hebrew Conclusion Extraction Model (based on token classification)
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