Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use callmesan/ModernBERT-large-roman-urdu-binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use callmesan/ModernBERT-large-roman-urdu-binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="callmesan/ModernBERT-large-roman-urdu-binary")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("callmesan/ModernBERT-large-roman-urdu-binary") model = AutoModelForSequenceClassification.from_pretrained("callmesan/ModernBERT-large-roman-urdu-binary", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d1d55ca66c9e395c5bea8a3c7dfb8bd39404703cea2c42cb03c4fb35aeeea47f
- Size of remote file:
- 5.37 kB
- SHA256:
- 330dc86b97f87f4263ca398d2d30f6b4b0d49b7176c8ec7520e05550bc240551
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