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