Instructions to use cointegrated/rubert-tiny2-sentence-compression with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cointegrated/rubert-tiny2-sentence-compression with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cointegrated/rubert-tiny2-sentence-compression")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("cointegrated/rubert-tiny2-sentence-compression") model = AutoModelForTokenClassification.from_pretrained("cointegrated/rubert-tiny2-sentence-compression", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (63ce3388a88552b253cb1639c51f39e1df554dbe) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>69ea7d2
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initial commit
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