How to use ResonateIntegrated/Resonate-MusiX-T1-50M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="ResonateIntegrated/Resonate-MusiX-T1-50M")
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ResonateIntegrated/Resonate-MusiX-T1-50M", device_map="auto")
How to use ResonateIntegrated/Resonate-MusiX-T1-50M with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ResonateIntegrated/Resonate-MusiX-T1-50M") 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]
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