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