Debug Your Infrastructure
Get Instant Solutions for Kubernetes, Databases, Docker and more
Deepgram Invalid Custom Model
Understanding Deepgram: A Powerful Voice AI Tool
Deepgram is a leading Voice AI API company that provides advanced speech recognition solutions. It is designed to help developers and engineers integrate voice recognition capabilities into their applications with ease. Deepgram's API allows for real-time transcription, language detection, and custom model creation, making it a versatile tool for various industries.
Identifying the Symptom: Invalid Custom Model
When working with Deepgram, you might encounter an error message stating Invalid Custom Model. This error typically appears when attempting to use a custom model for transcription or other voice processing tasks.
Exploring the Issue: What Does 'Invalid Custom Model' Mean?
The 'Invalid Custom Model' error indicates that the custom model ID specified in your request is incorrect or does not exist in your Deepgram account. This can happen if the model ID is mistyped, the model has been deleted, or if there is a mismatch between the model ID and the associated project.
Common Causes of the Error
- Typographical errors in the custom model ID.
- The custom model has been deleted or is not yet created.
- Incorrect project association with the custom model.
Steps to Fix the 'Invalid Custom Model' Issue
To resolve the 'Invalid Custom Model' error, follow these steps:
Step 1: Verify the Custom Model ID
Ensure that the custom model ID you are using is correct. You can verify this by logging into your Deepgram account and navigating to the Deepgram Console. Check the list of available custom models and confirm the ID matches the one in your request.
Step 2: Check Model Existence
If the model ID is correct, ensure that the model has not been deleted. If it has been removed, you will need to recreate the model. Refer to the Deepgram Documentation for guidance on creating custom models.
Step 3: Confirm Project Association
Ensure that the custom model is associated with the correct project. You can do this by checking the project settings in the Deepgram Console. If there is a mismatch, update the project association accordingly.
Step 4: Update Your API Request
Once you have verified the model ID and project association, update your API request to use the correct model ID. Here is an example of how your request might look:
{
"model": "your_custom_model_id",
"language": "en-US"
}
Conclusion
By following these steps, you should be able to resolve the 'Invalid Custom Model' error in Deepgram. Ensuring the accuracy of your custom model ID and its association with the correct project is crucial for seamless integration. For further assistance, consider reaching out to Deepgram Support.
Master
Deepgram Invalid Custom Model
debugging in Minutes
— Grab the Ultimate Cheatsheet
(Perfect for DevOps & SREs)
Heading
Cheatsheet
(Perfect for DevOps & SREs)
MORE ISSUES
Backed by
