Compatible OpenAI Models
You can import compatible models from Hugging Face and OCI Object Storage buckets into OCI Generative AI, create endpoints for those models, and use them in the Generative AI service.
OpenAI Whisper
The OpenAI Whisper Large V3 Turbo model is optimized for automatic speech recognition and audio transcription workloads. This audio-to-text model is a fine-tuned version of a pruned Whisper Large V3 model, with fewer decoder layers for faster transcription with a minor quality tradeoff. The model supports multilingual transcription, language identification, and speech translation from supported languages into English text and is suited for latency-sensitive and high-throughput audio processing use cases. For more details, see OpenAI Whisper Large V3 Turbo in the Hugging Face documentation.
| Hugging Face Model ID | Model Capability | Recommended Dedicated AI Cluster Unit Shapes |
|---|---|---|
| openai/whisper-large-v3-turbo | AUDIO_TO_TEXT |
|
- For imported models, you can use the native context length specified by the model provider. However, the effective maximum context length is limited by the underlying hardware setup that you select for the hosting dedicated AI clusters in OCI Generative AI. To take full advantage of a model's native context length, you might need to provision more hardware resources.
- Use the fine-tuned models only if they match the compatible base model's transformer version and have a parameter count within ±10% of the original.
- For available hardware and steps on how to deploy the imported models, see Managing Imported Models.