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: 203 Bytes
fd466c2 | 1 2 3 4 5 | {
"text": "The receiving party shall keep all confidential information secret and shall not disclose it to any third party without the disclosing party's prior written consent.",
"text_pair": null
}
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