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:
- 0331acc4bfb462dba3fb303d5cb9aa14ddbc1f9c748a9da54fe6184ba347b91c
- Size of remote file:
- 1.58 GB
- SHA256:
- a4c637baea30d0e27ca5b72289282d8c877b33182974b14e1c8a9f1d14bdcc0e
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