How to use Tejas2000/SpeechRecog with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Tejas2000/SpeechRecog")
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Tejas2000/SpeechRecog") model = AutoModelForCTC.from_pretrained("Tejas2000/SpeechRecog", device_map="auto")
https://huggingface.co/Tejas2000/SpeechRecog/resolve/refs%2Fpr%2F1/preprocessor_config.json
hf download hf://Tejas2000/SpeechRecog@refs/pr/1/preprocessor_config.json
curl -L -o preprocessor_config.json https://huggingface.co/Tejas2000/SpeechRecog/resolve/refs%2Fpr%2F1/preprocessor_config.json
