Sentence Similarity
sentence-transformers
ONNX
Safetensors
Transformers.js
Bengali
English
bert
feature-extraction
bangla
banglish
bengali
romanized-bengali
embeddings
retrieval
cross-script-retrieval
code-switching
low-resource-languages
cpu
from-scratch
text-embeddings-inference
Instructions to use sifat-febo/banglish-embed-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use sifat-febo/banglish-embed-tiny with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sifat-febo/banglish-embed-tiny") 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] - Transformers.js
How to use sifat-febo/banglish-embed-tiny with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('sentence-similarity', 'sifat-febo/banglish-embed-tiny'); - Notebooks
- Google Colab
- Kaggle
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