Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use mahwizzzz/RomanUrduClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mahwizzzz/RomanUrduClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mahwizzzz/RomanUrduClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mahwizzzz/RomanUrduClassification") model = AutoModelForSequenceClassification.from_pretrained("mahwizzzz/RomanUrduClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
d777769
1
Parent(s): 8235e6c
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (905f7ccfc6cd05e141dab886624df16c368f98e6)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f0fd98fa23c7b67fb7d60159007a0c22dc178a8424baa5045e00b92512adc653
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size 503950020
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