Instructions to use PavanDeepak/IAB_Categories_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PavanDeepak/IAB_Categories_Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PavanDeepak/IAB_Categories_Classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PavanDeepak/IAB_Categories_Classification") model = AutoModelForSequenceClassification.from_pretrained("PavanDeepak/IAB_Categories_Classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f9de307222e8757309570c2e27c938c9172751a1e40358c0cec3f81cc2656839
- Size of remote file:
- 440 MB
- SHA256:
- 6ce647a02bab737f99d743d5d957bd76395afaffc99186857a08337578fe333a
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