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