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:
- 9d3a3b2b48c56536e6155ed7e738ae5e71015a76081bac76ba8157f3b68ee3b6
- Size of remote file:
- 2.8 kB
- SHA256:
- 94c73da4d0d0518b5d9d8f31cb771aed0a51877cdc5ed4cb82262ae94a53ca11
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