Sentence Similarity
sentence-transformers
Safetensors
English
bert
feature-extraction
Generated from Trainer
dataset_size:882
loss:MatryoshkaLoss
loss:TripletLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use plaguss/bge-base-argilla-sdk-matryoshka with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use plaguss/bge-base-argilla-sdk-matryoshka with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("plaguss/bge-base-argilla-sdk-matryoshka") sentences = [ "hide: footer\n\nFields\n\nFields in Argilla are define the content of a record that will be reviewed by a user.", "The tourists tried to hide their footprints in the sand as they walked along the deserted beach.", "Can the rg.Suggestion class be used to handle model predictions in Argilla?", "Can users customize the fields in Argilla to fit their specific annotation needs?" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
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