Text Classification
Transformers
Safetensors
English
bert
prompt-compression
dependency-detection
referential-dangling
research
text-embeddings-inference
Instructions to use JusperLee/referential-dangling-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JusperLee/referential-dangling-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JusperLee/referential-dangling-detector")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JusperLee/referential-dangling-detector") model = AutoModelForSequenceClassification.from_pretrained("JusperLee/referential-dangling-detector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add paper and project page links (#1)
- Add paper and project page links (71d4a2b0fcfbdc4bed9e7301f5625a4273aca7c8) Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>69fb683
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Add paper author information
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Upload dependency detector checkpoint
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