How to use OneFly7/crossencoder_ep10_bs8_trans1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("OneFly7/crossencoder_ep10_bs8_trans1") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3]
How to use OneFly7/crossencoder_ep10_bs8_trans1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("OneFly7/crossencoder_ep10_bs8_trans1") model = AutoModel.from_pretrained("OneFly7/crossencoder_ep10_bs8_trans1", device_map="auto")
https://huggingface.co/OneFly7/crossencoder_ep10_bs8_trans1/resolve/main/sentence_bert_config.json
hf download hf://OneFly7/crossencoder_ep10_bs8_trans1/sentence_bert_config.json
curl -L -o sentence_bert_config.json https://huggingface.co/OneFly7/crossencoder_ep10_bs8_trans1/resolve/main/sentence_bert_config.json
