mirror of
https://github.com/huggingface/candle.git
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4fff5b51f5
* Add the metavoice transformer. * Sketch the speaker-encoder module. * Adding to the metavoice model. * Start adding the metavoice example. * Get some logits out. * Load the second stage model. * Get the second step to run. * Tweak the example. * Add encodec tilting. * Glue the different bits together. * Fix a shape issue. * Use a constant. * BPE tokenization. * Add a warning.
35 lines
1.1 KiB
TOML
35 lines
1.1 KiB
TOML
[package]
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name = "candle-transformers"
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version.workspace = true
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edition.workspace = true
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description.workspace = true
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repository.workspace = true
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keywords.workspace = true
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categories.workspace = true
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license.workspace = true
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readme = "README.md"
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[dependencies]
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accelerate-src = { workspace = true, optional = true }
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byteorder = { workspace = true }
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candle = { workspace = true }
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candle-flash-attn = { workspace = true, optional = true }
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candle-nn = { workspace = true }
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fancy-regex = { workspace = true }
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intel-mkl-src = { workspace = true, optional = true }
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num-traits = { workspace = true }
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rand = { workspace = true }
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rayon = { workspace = true }
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serde = { workspace = true }
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serde_json = { workspace = true }
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serde_plain = { workspace = true }
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tracing = { workspace = true }
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[features]
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default = []
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accelerate = ["dep:accelerate-src", "candle/accelerate", "candle-nn/accelerate"]
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cuda = ["candle/cuda", "candle-nn/cuda"]
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flash-attn = ["cuda", "dep:candle-flash-attn"]
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mkl = ["dep:intel-mkl-src", "candle/mkl", "candle-nn/mkl"]
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metal = ["candle/metal", "candle-nn/metal"]
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