Sentence Similarity
sentence-transformers
Safetensors
Bengali
English
xlm-roberta
feature-extraction
embeddings
bengali
bangla
banglish
romanized-bengali
cross-lingual
information-retrieval
lora
text-embeddings-inference
Instructions to use istiaqfuad/triBne-e5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use istiaqfuad/triBne-e5-large with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("istiaqfuad/triBne-e5-large") 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
triBne-e5-large: LoRA-finetuned multilingual-e5-large for Bangla/Banglish/English retrieval
ec6fa7d verified - Xet hash:
- 9a184b2b11046834b0cd331a6add8c60f316cd5fc20f545baf507182cfc22a21
- Size of remote file:
- 17.1 MB
- SHA256:
- 3a56def25aa40facc030ea8b0b87f3688e4b3c39eb8b45d5702b3a1300fe2a20
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