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ModelCommand

Enum ModelCommand 

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pub(crate) enum ModelCommand {
Show 19 variants Toto { command: Command, }, Tabfm { command: Command, }, Mitra { command: Command, }, Tabdpt { command: Command, }, Tabicl { command: Command, }, Tabpfn { command: Command, }, Chronos { command: Command, }, Timesfm { command: Command, }, Sundial { command: Command, }, Ttm { command: Command, }, LagLlama { command: Command, }, Moment { command: Command, }, Moirai { command: Command, }, Moirai2 { command: Command, }, Flowstate { command: Command, }, Tirex { command: Command, }, Convert(ConvertArgs), Inspect(InspectArgs), Pull(PullArgs),
}

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Toto

Toto-2 (Datadog) zero-shot time-series forecaster.

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§command: Command
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Tabfm

TabFM (google/tabfm-1.0.0-pytorch) zero-shot tabular classifier/regressor.

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§command: Command
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Mitra

Mitra (autogluon/mitra-classifier, autogluon/mitra-regressor) zero-shot tabular foundation model.

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§command: Command
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Tabdpt

TabDPT (Layer6/TabDPT) zero-shot tabular foundation model.

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§command: Command
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Tabicl

TabICL (jingang/TabICL, v2) zero-shot tabular foundation model (classification only).

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§command: Command
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Tabpfn

TabPFN-3 (Prior-Labs/tabpfn_3) zero-shot tabular foundation model (classification only). NON-COMMERCIAL WEIGHTS LICENSE — see zsfm tabpfn infer --help.

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§command: Command
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Chronos

Chronos-2 (Amazon) zero-shot time-series forecaster.

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§command: Command
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Timesfm

TimesFM 2.5 200M (Google) zero-shot time-series forecaster.

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§command: Command
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Sundial

Sundial / Timer v3 (thuml) zero-shot time-series forecaster.

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§command: Command
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Ttm

TinyTimeMixer / TTM-R2 (IBM Granite) zero-shot time-series forecaster.

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§command: Command
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LagLlama

Lag-Llama (ServiceNow) zero-shot time-series forecaster.

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§command: Command
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Moment

MOMENT-1-large (CMU) zero-shot time-series forecaster.

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§command: Command
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Moirai

Moirai-1.0-R-large (Salesforce) zero-shot time-series forecaster.

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§command: Command
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Moirai2

Moirai-2.0-R-small (Salesforce) zero-shot time-series forecaster.

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§command: Command
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Flowstate

FlowState-R1 (IBM Granite) zero-shot time-series forecaster.

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§command: Command
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Tirex

TiRex (NX-AI) zero-shot time-series forecaster.

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§command: Command
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Convert(ConvertArgs)

Convert ANY checkpoint (safetensors / PyTorch pickle / npy / npz / ONNX / HDF5 / Keras / GGUF) to GGUF, tensor names passed through. GGUF input re-quantizes.

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Inspect(InspectArgs)

List tensors (and optionally values) of any supported checkpoint format.

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Pull(PullArgs)

Download a HuggingFace repo’s checkpoint in whatever format it’s published in (safetensors / pickle / npy / npz / ONNX / HDF5 / Keras / GGUF), without converting.

Trait Implementations§

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impl FromArgMatches for ModelCommand

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fn from_arg_matches(__clap_arg_matches: &ArgMatches) -> Result<Self, Error>

Instantiate Self from [ArgMatches], parsing the arguments as needed. Read more
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fn from_arg_matches_mut( __clap_arg_matches: &mut ArgMatches, ) -> Result<Self, Error>

Instantiate Self from [ArgMatches], parsing the arguments as needed. Read more
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fn update_from_arg_matches( &mut self, __clap_arg_matches: &ArgMatches, ) -> Result<(), Error>

Assign values from ArgMatches to self.
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fn update_from_arg_matches_mut<'b>( &mut self, __clap_arg_matches: &mut ArgMatches, ) -> Result<(), Error>

Assign values from ArgMatches to self.
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impl Subcommand for ModelCommand

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fn augment_subcommands<'b>(__clap_app: Command) -> Command

Append to [Command] so it can instantiate Self via [FromArgMatches::from_arg_matches_mut] Read more
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fn augment_subcommands_for_update<'b>(__clap_app: Command) -> Command

Append to [Command] so it can instantiate self via [FromArgMatches::update_from_arg_matches_mut] Read more
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fn has_subcommand(__clap_name: &str) -> bool

Test whether Self can parse a specific subcommand

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