Struct TabFMConfig 

pub struct TabFMConfig {

    pub embed_dim: u32,
    pub max_classes: u32,
    pub col_num_blocks: u32,
    pub col_nhead: u32,
    pub col_num_inds: u32,
    pub row_num_blocks: u32,
    pub row_nhead: u32,
    pub row_num_cls: u32,
    pub icl_num_blocks: u32,
    pub icl_nhead: u32,
    pub ff_factor: u32,
    pub feature_group_size: u32,
    pub is_classifier: bool,
    pub num_freq: u32,
    pub decoder_hidden: Option<u32>,
    pub norm_eps: f64,
}

{task}/config.json from google/tabfm-1.0.0-pytorch. Mirrors the upstream Python loader’s Config dataclass (tabfm/src/pytorch/tabfm_v1_0_0.py) field-for-field.

Fields

embed_dim: u32

max_classes: u32

col_num_blocks: u32

col_nhead: u32

col_num_inds: u32

row_num_blocks: u32

row_nhead: u32

row_num_cls: u32

icl_num_blocks: u32

icl_nhead: u32

ff_factor: u32

feature_group_size: u32

is_classifier: bool

num_freq: u32

decoder_hidden: Option<u32>

null in the JSON means “use the TabFM.__init__ default of icl_dim * 2”.

norm_eps: f64

Implementations

impl TabFMConfig

pub fn from_json(s: &str) -> Result<Self>

pub fn icl_dim(&self) -> u32

d_model fed into the ICL stage: row_num_cls CLS-token embeddings, concatenated.

pub fn col_dim_ff(&self) -> u32

pub fn icl_dim_ff(&self) -> u32

pub fn decoder_hidden(&self) -> u32

Trait Implementations

impl Debug for TabFMConfig

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for TabFMConfig

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl From<&TabFMConfig> for InferConfig

Every field here is load-bearing architecture metadata (must match the checkpoint the GGUF was converted from) — there is no sensible standalone Default. Build one from a parsed config.json via From<&TabFMConfig> (or TabFMModelBuilder::config_from), then optionally layer on the few genuinely optional overrides below.

fn from(tc: &TabFMConfig) -> Self

Converts to this type from the input type.