Duplicated from ai-forever/ru-en-RoSBERTa
How to use thunderbasil/ru-en-RoSBERTa with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("thunderbasil/ru-en-RoSBERTa") 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 thunderbasil/ru-en-RoSBERTa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="thunderbasil/ru-en-RoSBERTa")
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("thunderbasil/ru-en-RoSBERTa") model = AutoModel.from_pretrained("thunderbasil/ru-en-RoSBERTa", device_map="auto")
