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:
- 0210de7d1ddfc4dcd8b46caf93c2fe05e258d6ce2341aff1babd9e5096348a28
- Size of remote file:
- 4.09 kB
- SHA256:
- e9de645cf23f3e7a0af48661ff28e384c5b6c60fdc7bf6fe72421a4269203759
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