Downloads · 30 days
17
4% of all-time downloads
clip-st
osanseviero/clip-st
clip-st is a feature extraction model from osanseviero. Use it when you need embeddings to search or compare text. It is set up for sentence-transformers.
All-time downloads
484
Public
Repo size
3.8 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin541 MB · 100%
At a glance
- Task
- Feature Extraction
- Library
- sentence-transformers
- Model type
- distilbert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- May 17, 2021
- SHA
- c6d3f443
Model card
From the Hugging Face model README
TODO: Name of Model
TODO: Description
Model Description
TODO: Add relevant content
(0) Base Transformer Type: DistilBertModel
(1) Pooling mean
(2) Dense 768x512
Usage (Sentence-Transformers)
Using this model becomes more convenient when you have sentence-transformers installed:
pip install -U sentence-transformers
Then you can use the model like this:
from sentence_transformers import SentenceTransformer
sentences = ["This is an example sentence"]
model = SentenceTransformer(TODO)
embeddings = model.encode(sentences)
print(embeddings)
TODO: Training Procedure
TODO: Evaluation Results
TODO: Citing & Authors
- Task
- Feature Extraction
- Library
- sentence-transformers
- Type
- distilbert
- Created
- Mar 2, 2022
- Updated
- May 17, 2021