Text Classification
Transformers
Safetensors
Czech
modernbert
legal
czech
legal-nlp
text-embeddings-inference
Instructions to use TrustHLT/ModernBERT-large-madon-arg-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TrustHLT/ModernBERT-large-madon-arg-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TrustHLT/ModernBERT-large-madon-arg-detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TrustHLT/ModernBERT-large-madon-arg-detection") model = AutoModelForSequenceClassification.from_pretrained("TrustHLT/ModernBERT-large-madon-arg-detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed09ee0903c556a15fdb8d73860372183c2d7b00dc4eced556e5f767c905eee3
- Size of remote file:
- 10.7 MB
- SHA256:
- d93ce6b1fb52c8ddebee4bae53c2a2f5a896792eb099c75c4663d98ab3e16e44
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