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") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2b5591f43ed1fcb5d42d3ec51abd625c67b19a9d1ca2e76fb5fb7bb7b533e6b0
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size 437971872
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