Duplicated from openai/whisper-large-v3
How to use spellingdragon/whisper-large-v3-handler with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="spellingdragon/whisper-large-v3-handler")
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("spellingdragon/whisper-large-v3-handler") model = AutoModelForSpeechSeq2Seq.from_pretrained("spellingdragon/whisper-large-v3-handler", device_map="auto")
https://huggingface.co/spellingdragon/whisper-large-v3-handler/resolve/main/tokenizer.json
hf download hf://spellingdragon/whisper-large-v3-handler/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/spellingdragon/whisper-large-v3-handler/resolve/main/tokenizer.json
