Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use PDAP/coarse-url-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PDAP/coarse-url-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PDAP/coarse-url-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PDAP/coarse-url-classifier") model = AutoModelForSequenceClassification.from_pretrained("PDAP/coarse-url-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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## Training and evaluation data
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This model is trained on urls belonging to 5 coarse grained labels:
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- Police & Public Interactions
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- Info About Officers
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## Training and evaluation data
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This model is trained on urls/html data belonging to 5 coarse grained labels:
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- Police & Public Interactions
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- Info About Officers
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