pub struct ModelEmbeddingRequest {
pub model_id: String,
pub input: Vec<String>,
pub template_args: Option<Vec<EmbeddingTemplateArgs>>,
pub task_type: SemanticTask,
pub dimensions: Option<u32>,
}Expand description
embedding 请求:批量向量化(输入列表,一一对应返回)。
Fields§
§model_id: String当前模型清单中的 embedding model id;缺失或空值由宿主入口拒绝。
input: Vec<String>待向量化文本列表;缺失时使用空列表。
template_args: Option<Vec<EmbeddingTemplateArgs>>与 input 一一对应的模板填充参数;长度不足的项视为无额外参数(多余项忽略)。
task_type: SemanticTask语义任务类型(枚举强制合法值);宿主按模型档案翻译为输入模板。
dimensions: Option<u32>输出维度裁剪;None 表示使用模型原生维度。
Trait Implementations§
Source§impl Clone for ModelEmbeddingRequest
impl Clone for ModelEmbeddingRequest
Source§impl Debug for ModelEmbeddingRequest
impl Debug for ModelEmbeddingRequest
Source§impl<'de> Deserialize<'de> for ModelEmbeddingRequest
impl<'de> Deserialize<'de> for ModelEmbeddingRequest
Source§fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where
__D: Deserializer<'de>,
fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where
__D: Deserializer<'de>,
Deserialize this value from the given Serde deserializer. Read more
Auto Trait Implementations§
impl Freeze for ModelEmbeddingRequest
impl RefUnwindSafe for ModelEmbeddingRequest
impl Send for ModelEmbeddingRequest
impl Sync for ModelEmbeddingRequest
impl Unpin for ModelEmbeddingRequest
impl UnsafeUnpin for ModelEmbeddingRequest
impl UnwindSafe for ModelEmbeddingRequest
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