Separating the "Chirp" from the "Chat": Self-supervised Visual Grounding of Sound and Language
Paper • 2406.05629 • Published • 7
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# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mhamilton723/DenseAV-language", device_map="auto")