Downloads · 30 days
15
4% of all-time downloads
bert-base-uncased-stsb-TTM
s-nlp/bert-base-uncased-stsb-TTM
bert-base-uncased-stsb-TTM is a text classification model from s-nlp. Use it when you need a label for a piece of text. It is set up for transformers.
It is a TT-compressed model of bert-base-uncased stsb model. Model was trained on STSB corpus with 0.87 combined score, and TTM-compressed with additional finetuning up to 58% (64 mln params) of original size with 0.8…
All-time downloads
428
Public
Repo size
772 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin257 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Aug 22, 2023
- Updated
- Aug 23, 2023
- SHA
- fedb3fd5
Try a prompt
Model card
From the Hugging Face model README
Model Overview
It is a TT-compressed model of bert-base-uncased stsb model. Model was trained on STSB corpus with 0.87 combined score, and TTM-compressed with additional finetuning up to 58% (64 mln params) of original size with 0.843 score.
How to use
tokenizer = AutoTokenizer.from_pretrained("bert-base-uncased")
model = AutoModelForSequenceClassification.from_pretrained("s-nlp/bert-base-uncased-stsb-TTM", trust_remote_code=True)
license: other
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Aug 22, 2023
- Updated
- Aug 23, 2023