Instructions to use Decycle/simcse_longembed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Decycle/simcse_longembed with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Decycle/simcse_longembed") model = AutoModel.from_pretrained("Decycle/simcse_longembed") - Notebooks
- Google Colab
- Kaggle
metadata
license: mit
language:
- en
base_model:
- princeton-nlp/unsup-simcse-roberta-base
datasets:
- dwzhu/LongEmbed
pipeline_tag: sentence-similarity
library_name: transformers
Finetuned SimCSE with longer context size for LongEmbed tasks.