How to use arun100/whisper-tiny-cn-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="arun100/whisper-tiny-cn-1")
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("arun100/whisper-tiny-cn-1") model = AutoModelForSpeechSeq2Seq.from_pretrained("arun100/whisper-tiny-cn-1", device_map="auto")
https://huggingface.co/arun100/whisper-tiny-cn-1/resolve/a0e030dceddb64c03a89cb0964e54d167f4ed378/tokenizer.json
hf download hf://arun100/whisper-tiny-cn-1@a0e030dceddb64c03a89cb0964e54d167f4ed378/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/arun100/whisper-tiny-cn-1/resolve/a0e030dceddb64c03a89cb0964e54d167f4ed378/tokenizer.json
