Instructions to use bigmorning/whisper_input_decoder_shift_r_labels_with_force__0030 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bigmorning/whisper_input_decoder_shift_r_labels_with_force__0030 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="bigmorning/whisper_input_decoder_shift_r_labels_with_force__0030")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("bigmorning/whisper_input_decoder_shift_r_labels_with_force__0030") model = AutoModelForSpeechSeq2Seq.from_pretrained("bigmorning/whisper_input_decoder_shift_r_labels_with_force__0030") - Notebooks
- Google Colab
- Kaggle