Instructions to use FastFlowLM/Whisper-V3-Turbo-NPU2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FastFlowLM/Whisper-V3-Turbo-NPU2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="FastFlowLM/Whisper-V3-Turbo-NPU2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("FastFlowLM/Whisper-V3-Turbo-NPU2") model = AutoModelForSpeechSeq2Seq.from_pretrained("FastFlowLM/Whisper-V3-Turbo-NPU2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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