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
Download model_reference.json from litillabs/litil-clause-classifier: direct link, hf CLI and curl.
- Browser
- Download file 668 Bytes
-
https://huggingface.co/litillabs/litil-clause-classifier/resolve/main/model_reference.json
- Command line
-
hf download hf://litillabs/litil-clause-classifier/model_reference.json
-
curl -L -o model_reference.json https://huggingface.co/litillabs/litil-clause-classifier/resolve/main/model_reference.json
668 Bytes
| { | |
| "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" | |
| } | |