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
How much memory is needed to create an embedding
#3 opened over 2 years ago
by
aflip
Adding `safetensors` variant of this model
#2 opened over 2 years ago
by
SFconvertbot
Can i use SentenceTransformers instead of the presented code?
2
#1 opened almost 3 years ago
by
Sorenmc