Text Classification
Transformers
Safetensors
English
modernbert
litil-labs
legal
clause-classification
ledgar
text-embeddings-inference
Instructions to use litillabs/litil-clause-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use litillabs/litil-clause-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="litillabs/litil-clause-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("litillabs/litil-clause-classifier") model = AutoModelForSequenceClassification.from_pretrained("litillabs/litil-clause-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 668 Bytes
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"repo_id": "litillabs/litil-clause-classifier",
"selected_checkpoint_revision": "136c5138e3b40b43b192b965fdee48fb9591784f",
"weight_filename": "model.safetensors",
"weight_sha256": "0c33bae20ce7edf1e0a2d5a71c5bb93aa30e5dd729564c12b585ddfde18293e3",
"weight_bytes": 1583753448,
"base_model": "answerdotai/ModernBERT-large",
"architecture": "ModernBertForSequenceClassification",
"dataset": "coastalcph/lex_glue",
"dataset_revision": "c23fdff1a6bf74e0e1a71cb86f1e781d37da888c",
"data_status": "public_source_bound",
"network_downloads_required_by_example": 0,
"weights_included_in_repository": true,
"model_name": "LiTiL Clause Classifier"
}
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