Instructions to use dejanai/Intent-XS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dejanai/Intent-XS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dejanai/Intent-XS")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dejanai/Intent-XS") model = AutoModelForSequenceClassification.from_pretrained("dejanai/Intent-XS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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LABEL_0: 'Commercial'
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LABEL_1: 'Non-Commercial'
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LABEL_2: 'Branded' #
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LABEL_3: 'Non-Branded' #
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LABEL_4: 'Informational'
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LABEL_5: 'Navigational'
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LABEL_6: 'Transactional'
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LABEL_0: 'Commercial'
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LABEL_1: 'Non-Commercial'
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LABEL_2: 'Branded' # Needs-further fine-tuning.
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LABEL_3: 'Non-Branded' # Needs-further fine-tuning.
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LABEL_4: 'Informational'
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LABEL_5: 'Navigational'
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LABEL_6: 'Transactional'
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