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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license: apache-2.0
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- text: "בשבוע שעבר שדרגתי את גרסת הטלפון שלי ."
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candidate_labels: "נייד לשיחות
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multi_class: false
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example_title: "שדרוג מכשיר"
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license: apache-2.0
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widget:
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candidate_labels: "נייד לשיחות , חיוב חשבון , חולה על כדורגל"
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multi_class: false
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example_title: "שדרוג מכשיר"
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