Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use MANMEET75/PaymentNonPayment-ModernBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MANMEET75/PaymentNonPayment-ModernBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MANMEET75/PaymentNonPayment-ModernBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MANMEET75/PaymentNonPayment-ModernBERT") model = AutoModelForSequenceClassification.from_pretrained("MANMEET75/PaymentNonPayment-ModernBERT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8bbe53d15aad5002290509c586fae8b6985fe33cb57254d35be11b8bc9bf36ee
- Size of remote file:
- 5.37 kB
- SHA256:
- 0a52dcea5401c99706c4f557d135321a6fb7197cad2afe21b07bafcdfef80667
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