How to use l3cube-pune/punjabi-sentence-bert-nli with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("l3cube-pune/punjabi-sentence-bert-nli") sentences = [ "ਪੇਂਟਿੰਗ ਮੇਰਾ ਸ਼ੌਕ ਹੈ", "ਨੱਚਣਾ ਮੇਰਾ ਸ਼ੌਕ ਹੈ", "ਮੇਰੇ ਬਹੁਤ ਸਾਰੇ ਸ਼ੌਕ ਹਨ", "ਮੈਨੂੰ ਪੇਂਟਿੰਗ ਅਤੇ ਡਾਂਸ ਦੋਵਾਂ ਦਾ ਆਨੰਦ ਆਉਂਦਾ ਹੈ" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
How to use l3cube-pune/punjabi-sentence-bert-nli with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("l3cube-pune/punjabi-sentence-bert-nli") model = AutoModel.from_pretrained("l3cube-pune/punjabi-sentence-bert-nli")
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