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")
https://huggingface.co/FastFlowLM/Whisper-V3-Turbo-NPU2/resolve/main/tokenizer.json
hf download hf://FastFlowLM/Whisper-V3-Turbo-NPU2/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/FastFlowLM/Whisper-V3-Turbo-NPU2/resolve/main/tokenizer.json
