How to use MongoDB/mdbr-leaf-ir-asym with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("MongoDB/mdbr-leaf-ir-asym") 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 MongoDB/mdbr-leaf-ir-asym with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MongoDB/mdbr-leaf-ir-asym")
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MongoDB/mdbr-leaf-ir-asym", device_map="auto")
https://huggingface.co/MongoDB/mdbr-leaf-ir-asym/resolve/main/document_0_Transformer/tokenizer.json
hf download hf://MongoDB/mdbr-leaf-ir-asym/document_0_Transformer/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/MongoDB/mdbr-leaf-ir-asym/resolve/main/document_0_Transformer/tokenizer.json
