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- Always take weights from the hub - Optional `model_id` + `revision` to use safetensors version potentially - Optional loading for `bert-base-uncased` (`weight` vs `gamma`). - Take the config from the hub.
29 lines
843 B
TOML
29 lines
843 B
TOML
[package]
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name = "candle-examples"
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version = "0.1.0"
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edition = "2021"
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description = "Examples for the candle ML framework."
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repository = "https://github.com/LaurentMazare/candle"
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keywords = ["blas", "tensor", "machine-learning"]
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categories = ["science"]
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license = "MIT/Apache-2.0"
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readme = "README.md"
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[dependencies]
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candle = { path = "../candle-core", default-features=false }
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serde = { version = "1.0.166", features = ["derive"] }
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serde_json = "1.0.99"
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[dev-dependencies]
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anyhow = { version = "1", features = ["backtrace"] }
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candle-hub = { path = "../candle-hub" }
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clap = { version = "4.2.4", features = ["derive"] }
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rand = "0.8.5"
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tokenizers = { version = "0.13.3", default-features=false, features=["onig"] }
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tokio = { version = "1.28.2", features = ["macros", "rt-multi-thread"] }
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[features]
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default = ["cuda"]
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cuda = ["candle/cuda"]
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