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648596c073
* added chatGLM readme * changed wording in readme * added readme for chinese-clip * added readme for convmixer * added readme for custom ops * added readme for efficientnet * added readme for llama * added readme to mnist-training * added readme to musicgen * added readme to quantized-phi * added readme to starcoder2 * added readme to whisper-microphone * added readme to yi * added readme to yolo-v3 * added readme to whisper-microphone * added space to example in glm4 readme * fixed mamba example readme to run mamba instead of mamba-minimal * removed slash escape character * changed moondream image to yolo-v8 example image * added procedure for making the reinforcement-learning example work with a virtual environment on my machine * added simple one line summaries to the example readmes without * changed non-existant image to yolo example's bike.jpg * added backslash to sam command * removed trailing - from siglip * added SoX to silero-vad example readme * replaced procedure for uv on mac with warning that uv isn't currently compatible with pyo3 * added example to falcon readme * added --which arg to stella-en-v5 readme * fixed image path in vgg readme * fixed the image path in the vit readme * Update README.md * Update README.md * Update README.md --------- Co-authored-by: Laurent Mazare <laurent.mazare@gmail.com>
20 lines
791 B
Markdown
20 lines
791 B
Markdown
# candle-musicgen
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Candle implementation of musicgen from [Simple and Controllable Music Generation](https://arxiv.org/pdf/2306.05284).
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## Running an example
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```bash
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$ cargo run --example musicgen -- --prompt "90s rock song with loud guitars and heavy drums"
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> tokens: [2777, 7, 2480, 2324, 28, 8002, 5507, 7, 11, 2437, 5253, 7, 1]
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> Tensor[dims 1, 13; u32]
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> [[[ 0.0902, 0.1256, -0.0585, ..., 0.1057, -0.5141, -0.4675],
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> [ 0.1972, -0.0268, -0.3368, ..., -0.0495, -0.3597, -0.3940],
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> [-0.0855, -0.0007, 0.2225, ..., -0.2804, -0.5360, -0.2436],
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> ...
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> [ 0.0515, 0.0235, -0.3855, ..., -0.4728, -0.6858, -0.2923],
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> [-0.3728, -0.1442, -0.1179, ..., -0.4388, -0.0287, -0.3242],
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> [ 0.0163, 0.0012, -0.0020, ..., 0.0142, 0.0173, -0.0103]]]
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> Tensor[[1, 13, 768], f32]
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``` |