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:
- d17b3cd2ab296e2791b432c91706ca73bc75d2a2a943c3f64b99861d91901248
- Size of remote file:
- 5.97 kB
- SHA256:
- 39171896d9fb883444bdd8e6018e3a48d7ac7258dbd439bfd7290b66e6e69c7f
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