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
-
Add paper and project page links
Verified signatureThis PR adds links to the Hugging Face paper page and the project page in the model card. The existing YAML metadata is already complete and is left unchanged.71d4a2b
-
Add paper author information
Verified signature0bc1365 -
Upload dependency detector checkpoint
Verified signaturea42d24f -
initial commit
Verified signature0e474c1