Text Classification
Transformers
TensorBoard
Safetensors
distilbert
URL
BinaryCalssification
URL Classification
BERT URL calssifier
text-embeddings-inference
Instructions to use obaidtambo/url_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use obaidtambo/url_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="obaidtambo/url_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("obaidtambo/url_classifier") model = AutoModelForSequenceClassification.from_pretrained("obaidtambo/url_classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a0ccd25cc65e0bd7638c902861f2e388c468342d5e319cad287acc4769871c78
- Size of remote file:
- 4.66 kB
- SHA256:
- 25d572f4c8b319f79072950c5837430056eb946de3c3d5bf565425f8346e6343
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