Instructions to use Serj/intent-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Serj/intent-classifier with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Serj/intent-classifier") model = AutoModelForSeq2SeqLM.from_pretrained("Serj/intent-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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datasets:
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- clinc/clinc_oos
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- text: "Topic %% Customer: How do I get my money back?
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example_title: "Open Label Intent Classification"
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datasets:
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- text: "Topic %% Customer: How do I get my money back?.\nEND MESSAGE\nChoose one topic that matches customer's issue.\n# renew subscription # account deletion # cancel subscription # resume subscription # refund requests # other # general # item damaged # malfunction # hello # intro # question\nClass name: "
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example_title: "Open Label Intent Classification"
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