Instructions to use biu-nlp/abstract-sim-sentence with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use biu-nlp/abstract-sim-sentence with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="biu-nlp/abstract-sim-sentence")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("biu-nlp/abstract-sim-sentence") model = AutoModelForMaskedLM.from_pretrained("biu-nlp/abstract-sim-sentence", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d1cb4859f988460a567986bfd7c4f8a020435affcab10dca9b0caac2e6e72a21
- Size of remote file:
- 438 MB
- SHA256:
- c0456608bdb3f4c6282d013b2f84db1f7d56b99047f52ab1cfaa3d211f17c383
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