If try to dynamically load WhipserKit's models, as in below, the download never occurs. No error or anything. And at the same time I can still get to the huggingface.co hosting site without any headaches, so it's not a blocking issue. let config = WhisperKitConfig( model: "openai_whisper-large-v3", modelRepo: "argmaxinc/whisperkit-coreml" ) So I have to default to the tiny model as seen below. I have tried so many ways, using ChatGPT and others, to build the models on my Mac, but too many failures, because I have never dealt with builds like that before. Are there any hosting sites that have the models (small, medium, large) already built where I can download them and just bundle them into my project? Wasted quite a large amount of time trying to get this done. import Foundation import WhisperKit @MainActor class WhisperLoader: ObservableObject { var pipe: WhisperKit? init() { Task { await self.initializeWhisper() } } private func initializeWhisper() async { do { Logging.shared.logLevel = .debug Logging.shared.loggingCallback = { message in print("[WhisperKit] \(message)") } let pipe = try await WhisperKit() // defaults to "tiny" self.pipe = pipe print("initialized. Model state: \(pipe.modelState)") guard let audioURL = Bundle.main.url(forResource: "44pf", withExtension: "wav") else { fatalError("not in bundle") } let result = try await pipe.transcribe(audioPath: audioURL.path) print("result: \(result)") } catch { print("Error: \(error)") } } }

I have Xcode 16 and am setting everything to a minimum target deployment to 17.5, and am using import Speech Never the less, Xcode doesn't can't find it. At ChatGPT's urging I tried going back to Xcode 15.3, but that won't work with Sequoia Am I misunderstanding something? Here's how I am trying to use it: if templateItems.isEmpty { templateItems = dbControl?.getAllItems(templateName: templateName) ?? [] items = templateItems.compactMap { $0.itemName?.components(separatedBy: " ") }.flatMap { $0 } let phrases = extractContextualWords(from: templateItems) Task { do { // 1. Get your items and extract words templateItems = dbControl?.getAllItems(templateName: templateName) ?? [] let phrases = extractContextualWords(from: templateItems) // 2. Build the custom model and export it let modelURL = try await buildCustomLanguageModel(from: phrases) // 3. Prepare the model (STATIC method) try await SFSpeechRecognizer.prepareCustomLanguageModel(at: modelURL) // ✅ Ready to use in recognition request print("✅ Model prepared at: \(modelURL)") // Save modelURL to use in Step 5 (speech recognition) // e.g., self.savedModelURL = modelURL } catch { print("❌ Error preparing model: \(error)") } } }