Sentence Similarity
sentence-transformers
Safetensors
xlm-roberta
feature-extraction
text-embeddings-inference
Instructions to use seregadgl101/baii_pr_v1_10ep with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use seregadgl101/baii_pr_v1_10ep with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("seregadgl101/baii_pr_v1_10ep") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c86bb4cd52d6b640b0a98ca009e3d7169c4a408a90da48ceec1751b28836e99
- Size of remote file:
- 2.27 GB
- SHA256:
- 55b9d16eaf799f47ab73cec98709be1331f391fde2037d63f00d0c8636757b10
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