Instructions to use switlydev/whisper-small-tr-custom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use switlydev/whisper-small-tr-custom with PEFT:
Task type is invalid.
- Transformers
How to use switlydev/whisper-small-tr-custom with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="switlydev/whisper-small-tr-custom")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("switlydev/whisper-small-tr-custom") model = AutoModelForSpeechSeq2Seq.from_pretrained("switlydev/whisper-small-tr-custom", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K