Instructions to use HeTree/HeCross with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HeTree/HeCross with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="HeTree/HeCross")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HeTree/HeCross") model = AutoModelForSequenceClassification.from_pretrained("HeTree/HeCross") - Notebooks
- Google Colab
- Kaggle
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README.md
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datasets:
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- HeTree/MevakerConcTree
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license: apache-2.0
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library_name:
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---
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# Hebrew Cross-Encoder Model
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datasets:
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- HeTree/MevakerConcTree
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license: apache-2.0
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library_name: transformers
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---
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# Hebrew Cross-Encoder Model
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