Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
Urdu
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use mahwizzzz/UrduClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mahwizzzz/UrduClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mahwizzzz/UrduClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mahwizzzz/UrduClassification") model = AutoModelForSequenceClassification.from_pretrained("mahwizzzz/UrduClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from mahwizzzz/UrduClassification: direct link, hf CLI and curl.
- Browser
- Download file 3.54 MB
-
https://huggingface.co/mahwizzzz/UrduClassification/resolve/main/tokenizer.json
- Command line
-
hf download hf://mahwizzzz/UrduClassification/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/mahwizzzz/UrduClassification/resolve/main/tokenizer.json
3.54 MB
File too large to display, you can check the raw version instead.