How to use alphaedge-ai/whisper-tiny-sin-32768 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="alphaedge-ai/whisper-tiny-sin-32768")
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("alphaedge-ai/whisper-tiny-sin-32768") model = AutoModelForSpeechSeq2Seq.from_pretrained("alphaedge-ai/whisper-tiny-sin-32768", device_map="auto")
https://huggingface.co/alphaedge-ai/whisper-tiny-sin-32768/resolve/main/tokenizer.json
hf download hf://alphaedge-ai/whisper-tiny-sin-32768/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/alphaedge-ai/whisper-tiny-sin-32768/resolve/main/tokenizer.json
