Sentence Similarity
sentence-transformers
Safetensors
English
bert
task-oriented-dialogues
dialog-flow
text-embeddings-inference
Instructions to use sergioburdisso/dialog2flow-single-bert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use sergioburdisso/dialog2flow-single-bert-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sergioburdisso/dialog2flow-single-bert-base") sentences = [ "your phone please", "please get their phone number", "okay can i get your phone number please to make that booking", "okay can i please get your id number" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update config.json
Verified signaturebeec3e7
-
Update README.md
Verified signature2f0f857
-
Upload voronoi_umap.png
Verified signature1366ff8 -
Upload LICENSE
Verified signaturef9eebdb -
Upload voronoi_umap.png
Verified signature54673e1 -
Update README.md
Verified signaturef8da227
-
Update README.md
Verified signature5637bea
-
Update README.md
Verified signature139fe93
-
Update README.md
Verified signaturebb050d5 -
Update README.md
Verified signaturea75d42b
-
Update README.md
Verified signature76462d7 -
Update README.md
Verified signature4015f18 -
Push model to huggingface
Verified signature879865d -
Update README.md
Verified signature24d9088 -
Update README.md
Verified signature2535930 -
Push model to huggingface
Verified signature96f6497 -
initial commit
Verified signature8656bd9