How to use Kyleiwaniec/COS_TAPT_n_RoBERTa-sts-e3_OnlineContrastiveLoss_2023-10-16 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Kyleiwaniec/COS_TAPT_n_RoBERTa-sts-e3_OnlineContrastiveLoss_2023-10-16") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
How to use Kyleiwaniec/COS_TAPT_n_RoBERTa-sts-e3_OnlineContrastiveLoss_2023-10-16 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Kyleiwaniec/COS_TAPT_n_RoBERTa-sts-e3_OnlineContrastiveLoss_2023-10-16") model = AutoModel.from_pretrained("Kyleiwaniec/COS_TAPT_n_RoBERTa-sts-e3_OnlineContrastiveLoss_2023-10-16")
What is a pickle import?
