Instructions to use userdata/whisper-largeV2-10-ms-v7-LORA-Merged with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use userdata/whisper-largeV2-10-ms-v7-LORA-Merged with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="userdata/whisper-largeV2-10-ms-v7-LORA-Merged")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("userdata/whisper-largeV2-10-ms-v7-LORA-Merged") model = AutoModelForSpeechSeq2Seq.from_pretrained("userdata/whisper-largeV2-10-ms-v7-LORA-Merged", device_map="auto") - Notebooks
- Google Colab
- Kaggle
No model card
- Downloads last month
- 2