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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:94bb0b055cd95f1f51a7112cd2c1dc6840e0492ab65368202cb54b58031be354
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size 504121152
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