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 training_args.bin from mahwizzzz/UrduClassification: direct link, hf CLI and curl.
- Browser
- Download file 3.96 kB
-
https://huggingface.co/mahwizzzz/UrduClassification/resolve/main/training_args.bin
- Command line
-
hf download hf://mahwizzzz/UrduClassification/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/mahwizzzz/UrduClassification/resolve/main/training_args.bin
3.96 kB
- Xet hash:
- a1fedd9271b669b011568fb367aa29ec3fa4d85f08ae0a633664c70ad2b5eae4
- Size of remote file:
- 3.96 kB
- SHA256:
- 1cd8ce5e4a66e9c448e8682975f1214336dcf471a150b1d0c2dd784f99fa6714
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