Sentence Similarity
sentence-transformers
Safetensors
Bengali
English
bert
feature-extraction
embeddings
bengali
bangla
banglish
romanized-bengali
cross-lingual
information-retrieval
lora
text-embeddings-inference
Instructions to use istiaqfuad/triBne-e5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use istiaqfuad/triBne-e5-small with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("istiaqfuad/triBne-e5-small") sentences = [ "সে একজন সুখী ব্যক্তি", "সে হ্যাপি কুকুর", "সে খুব সুখী মানুষ", "আজ একটি রৌদ্রোজ্জ্বল দিন" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 58cedf6a5f0421aed26d6136bb7bdce553daf670be888e75f359f60f8279de67
- Size of remote file:
- 17.1 MB
- SHA256:
- 6040ba36e3e2f7b2fa6ae076b69d024a08666bea4c345105a32e542900fcc7e7
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