Instructions to use EricChang/openai-whisper-large-v2-Lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EricChang/openai-whisper-large-v2-Lora with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="EricChang/openai-whisper-large-v2-Lora")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("EricChang/openai-whisper-large-v2-Lora") model = AutoModelForSpeechSeq2Seq.from_pretrained("EricChang/openai-whisper-large-v2-Lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
This is a model for Taiwanese audio recognition using LoRA on Whisper-large-v2.
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