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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mahwizzzz/UrduIntentClassification") model = AutoModelForSequenceClassification.from_pretrained("mahwizzzz/UrduIntentClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from mahwizzzz/UrduIntentClassification: direct link, hf CLI and curl.
- Browser
- Download file 3.54 MB
-
https://huggingface.co/mahwizzzz/UrduIntentClassification/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://mahwizzzz/UrduIntentClassification@refs/pr/1/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/mahwizzzz/UrduIntentClassification/resolve/refs%2Fpr%2F1/tokenizer.json
3.54 MB
File too large to display, you can check the raw version instead.