How to use pkshatech/simcse-ja-bert-base-clcmlp with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("pkshatech/simcse-ja-bert-base-clcmlp") sentences = [ "This widget can't work correctly now.", "Sorry :(", "Try this model in your local environment!" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3]
How to use pkshatech/simcse-ja-bert-base-clcmlp with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("pkshatech/simcse-ja-bert-base-clcmlp") model = AutoModel.from_pretrained("pkshatech/simcse-ja-bert-base-clcmlp")
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