Instructions to use PavanDeepak/IAB_Category_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PavanDeepak/IAB_Category_Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PavanDeepak/IAB_Category_Classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PavanDeepak/IAB_Category_Classification") model = AutoModelForSequenceClassification.from_pretrained("PavanDeepak/IAB_Category_Classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6898cd38cf742613e08331237ea13868d988d8588ab2318633d060c4dad178e2
- Size of remote file:
- 440 MB
- SHA256:
- 0224af0fe50de5f417fdc4eb5554dd5c5c4f048ebf0a194eb2d1d2ae06fe0453
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