Instructions to use bigmorning/whisper_input_decoder_shift_r_labels_no_force__0025 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_no_force__0025 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_no_force__0025")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("bigmorning/whisper_input_decoder_shift_r_labels_no_force__0025") model = AutoModelForSpeechSeq2Seq.from_pretrained("bigmorning/whisper_input_decoder_shift_r_labels_no_force__0025") - Notebooks
- Google Colab
- Kaggle