Instructions to use tejasc/AdTypeClassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tejasc/AdTypeClassifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tejasc/AdTypeClassifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tejasc/AdTypeClassifier") model = AutoModelForSequenceClassification.from_pretrained("tejasc/AdTypeClassifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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example_title: "Sales Promotion Example"
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- text: "Join Our Treats™ Rewards Program to Start Earning Points & Receive Exclusive Discounts. Autoship ..."
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example_title: "Lead Generation Example"
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- text: "
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example_title: "Brand Awareness Example"
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- text: "New Customers Are Welcome at PetSmart® for Exclusive Deals on the Most Trusted Brands. Get all Your Pet Essentials With Free Same-Day Delivery or Curbside Pickup at PetSmart! Weekend Adoption Events. Pet Training."
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example_title: "Variety Example"
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example_title: "Sales Promotion Example"
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- text: "Join Our Treats™ Rewards Program to Start Earning Points & Receive Exclusive Discounts. Autoship ..."
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example_title: "Lead Generation Example"
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- text: "Be prepared for the unexpected with CarePlus."
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example_title: "Brand Awareness Example"
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- text: "New Customers Are Welcome at PetSmart® for Exclusive Deals on the Most Trusted Brands. Get all Your Pet Essentials With Free Same-Day Delivery or Curbside Pickup at PetSmart! Weekend Adoption Events. Pet Training."
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example_title: "Variety Example"
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