Text Classification
Transformers
PyTorch
Urdu
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use mahwizzzz/UrduIntentClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mahwizzzz/UrduIntentClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mahwizzzz/UrduIntentClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mahwizzzz/UrduIntentClassification") model = AutoModelForSequenceClassification.from_pretrained("mahwizzzz/UrduIntentClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5d967a121b1db0062807dec8c87ab452b54a0603f0386d837833de13f22e4206
- Size of remote file:
- 504 MB
- SHA256:
- b69d3f9397ee3bfb700f4fc2fec9040eb14ebddb8ccf21dc2271e0587ec3d7df
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