How to use blackcodetavern/gbert-large-paraphrase-cosine-onnx with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("blackcodetavern/gbert-large-paraphrase-cosine-onnx") sentences = [ "Das ist eine glückliche Person", "Das ist ein glücklicher Hund", "Das ist eine sehr glückliche Person", "Heute ist ein sonniger Tag" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
How to use blackcodetavern/gbert-large-paraphrase-cosine-onnx with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("blackcodetavern/gbert-large-paraphrase-cosine-onnx") model = AutoModel.from_pretrained("blackcodetavern/gbert-large-paraphrase-cosine-onnx")
How to use blackcodetavern/gbert-large-paraphrase-cosine-onnx with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("blackcodetavern/gbert-large-paraphrase-cosine-onnx")
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