Sentence Similarity
sentence-transformers
PyTorch
Transformers
xlm-roberta
feature-extraction
dpr
bn
multilingual
text-embeddings-inference
Instructions to use afschowdhury/semantic-xlmr-bn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use afschowdhury/semantic-xlmr-bn with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("afschowdhury/semantic-xlmr-bn") sentences = [ "আমি বাংলায় গান গাই", "I sing in Bangla", "I sing in Bengali", "I sing in English", "আমি গান গাই না " ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [5, 5] - Transformers
How to use afschowdhury/semantic-xlmr-bn with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("afschowdhury/semantic-xlmr-bn") model = AutoModel.from_pretrained("afschowdhury/semantic-xlmr-bn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened almost 2 years ago
by
SFconvertbot