How to use l3cube-pune/indic-sentence-bert-nli with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("l3cube-pune/indic-sentence-bert-nli") sentences = [ "दिवाळी आपण मोठ्या उत्साहाने साजरी करतो", "दिवाळी आपण आनंदाने साजरी करतो", "दिवाळी हा दिव्यांचा सण आहे" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3]
How to use l3cube-pune/indic-sentence-bert-nli with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("l3cube-pune/indic-sentence-bert-nli") model = AutoModel.from_pretrained("l3cube-pune/indic-sentence-bert-nli")
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