Instructions to use AlexMaclean/sentence-compression with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlexMaclean/sentence-compression with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="AlexMaclean/sentence-compression")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("AlexMaclean/sentence-compression") model = AutoModelForTokenClassification.from_pretrained("AlexMaclean/sentence-compression", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2e6e5a573973b77d58ec57233aaf3427fa5b9f19c614f7309a0e516ac6a24120
- Size of remote file:
- 261 MB
- SHA256:
- dc4ae36aab703e02db4900e06f0dc7a6148ff84bd8ca655494cf306f8d4c9b03
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