要在C語言中調用TensorFlow模型，可以使用TensorFlow C API。以下是一個簡單的示例代碼：

#include <stdio.h>
#include <tensorflow/c/c_api.h>

int main() {
    TF_Graph* graph = TF_NewGraph();
    TF_Status* status = TF_NewStatus();

    // Load the SavedModel
    TF_SessionOptions* session_options = TF_NewSessionOptions();
    TF_Buffer* run_options = NULL;
    const char* tags = "serve";
    int ntags = 1;
    TF_Session* session = TF_LoadSessionFromSavedModel(session_options, run_options, "path_to_saved_model", &tags, ntags, graph, NULL, status);

    if (TF_GetCode(status) != TF_OK) {
        fprintf(stderr, "Error loading model: %s\n", TF_Message(status));
        return -1;
    }

    // Create input tensor
    const int64_t dims[2] = {1, 784};
    TF_Tensor* input_tensor = TF_AllocateTensor(TF_FLOAT, dims, 2, 784 * sizeof(float));
    // Fill input tensor with data

    // Create output tensor
    TF_Output output;
    output.oper = TF_GraphOperationByName(graph, "output");
    output.index = 0;
    TF_Tensor* output_tensor = TF_NewTensor(TF_FLOAT, dims, 2, 10 * sizeof(float), data, 10, &noop_deallocator, 0);

    // Run the session
    TF_Tensor* outputs[1] = {output_tensor};
    TF_SessionRun(session, NULL, NULL, &input_tensor, outputs, 1, NULL, 0, NULL, 0, NULL, status);

    if (TF_GetCode(status) != TF_OK) {
        fprintf(stderr, "Error running model: %s\n", TF_Message(status));
        return -1;
    }

    // Get the output values
    float* output_data = TF_TensorData(output_tensor);
    for (int i = 0; i < 10; i++) {
        printf("Output value %d: %f\n", i, output_data[i]);
    }

    // Clean up
    TF_CloseSession(session, status);
    TF_DeleteSession(session, status);
    TF_DeleteSessionOptions(session_options);
    TF_DeleteGraph(graph);
    TF_DeleteStatus(status);

    return 0;
}

請注意，這只是一個簡單的示例代碼，實際使用時需要根據自己的模型和數據進行適當的修改。另外，需要確保正確鏈接TensorFlow C庫和頭文件。