Instructions to use dejanseo/Intent-XS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dejanseo/Intent-XS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dejanseo/Intent-XS")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dejanseo/Intent-XS") model = AutoModelForSequenceClassification.from_pretrained("dejanseo/Intent-XS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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license: bigscience-openrail-m
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Multi-label binary sequence classification model developed by [Dejan Marketing](https://dejanmarketing.com/).
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license: bigscience-openrail-m
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pipeline_tag: text-classification
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widget:
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- text: "Please enter a sentence to classify its intent among various commercial and informational categories."
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labels:
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- Commercial
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- Non-Commercial
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- Branded
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- Non-Branded
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- Informational
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- Navigational
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- Transactional
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- Commercial Investigation
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- Local
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- Entertainment
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---
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Multi-label binary sequence classification model developed by [Dejan Marketing](https://dejanmarketing.com/).
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