Instructions to use sidd435/autotrain-rvdcp-0ejwu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sidd435/autotrain-rvdcp-0ejwu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="sidd435/autotrain-rvdcp-0ejwu")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("sidd435/autotrain-rvdcp-0ejwu") model = AutoModelForSpeechSeq2Seq.from_pretrained("sidd435/autotrain-rvdcp-0ejwu") - Notebooks
- Google Colab
- Kaggle
- Downloads last month
- 2
Model tree for sidd435/autotrain-rvdcp-0ejwu
Base model
openai/whisper-small