Text Classification
Transformers
English
sentence-pruning
highlighting
rag
regulatory
stablecoin
context-compression
bge-reranker
Eval Results (legacy)
Instructions to use sugiv/stablebridge-pruner-highlighter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sugiv/stablebridge-pruner-highlighter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sugiv/stablebridge-pruner-highlighter")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sugiv/stablebridge-pruner-highlighter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload requirements.txt with huggingface_hub
Browse files- requirements.txt +4 -0
requirements.txt
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# StableBridge Pruner Dependencies
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torch>=2.0.0
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transformers>=4.36.0
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huggingface_hub>=0.20.0
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