How to use NbAiLabBeta/nb-whisper-tiny-semantic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="NbAiLabBeta/nb-whisper-tiny-semantic")
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("NbAiLabBeta/nb-whisper-tiny-semantic") model = AutoModelForSpeechSeq2Seq.from_pretrained("NbAiLabBeta/nb-whisper-tiny-semantic", device_map="auto")
https://huggingface.co/NbAiLabBeta/nb-whisper-tiny-semantic/resolve/main/onnx/tokenizer.json
hf download hf://NbAiLabBeta/nb-whisper-tiny-semantic/onnx/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/NbAiLabBeta/nb-whisper-tiny-semantic/resolve/main/onnx/tokenizer.json
