Sentence Similarity
sentence-transformers
Safetensors
xlm-roberta
feature-extraction
text-embeddings-inference
Instructions to use hamtaai/bg3_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use hamtaai/bg3_model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("hamtaai/bg3_model") 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:
- 72039ea5f7d40053ddb5f8c61ffd4bbe4d69b35a3289a9cdd4768ae99378484b
- Size of remote file:
- 17.1 MB
- SHA256:
- 33cd99e33ce09bdd8a6136fddfe90a1c47f85bafedf7309d0eecc19012d43586
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