Instructions to use biu-nlp/abstract-sim-query with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use biu-nlp/abstract-sim-query with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="biu-nlp/abstract-sim-query")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("biu-nlp/abstract-sim-query") model = AutoModelForMaskedLM.from_pretrained("biu-nlp/abstract-sim-query") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 23a5522496a81fe92ab93ec74550f27693bd0477c78fe50b5b83c810e8c96448
- Size of remote file:
- 438 MB
- SHA256:
- 8127fa4c3ed359372e3d355d648753a6f59853c277da7a155bb55cc1cbbb42f1
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