How to use novelcore/chimera-vdr with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("novelcore/chimera-vdr", trust_remote_code=True) 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 novelcore/chimera-vdr with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("novelcore/chimera-vdr", trust_remote_code=True, device_map="auto")
https://huggingface.co/novelcore/chimera-vdr/resolve/main/1_Pooling/config.json
hf download hf://novelcore/chimera-vdr/1_Pooling/config.json
curl -L -o config.json https://huggingface.co/novelcore/chimera-vdr/resolve/main/1_Pooling/config.json
