Instructions to use mosesdaudu/DSN_ASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mosesdaudu/DSN_ASR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mosesdaudu/DSN_ASR")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("mosesdaudu/DSN_ASR") model = AutoModelForSpeechSeq2Seq.from_pretrained("mosesdaudu/DSN_ASR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 27b3e5df6e2e272366e50a3690acd47f30f393d7532466f586fd296851b02936
- Size of remote file:
- 967 MB
- SHA256:
- 23433a8d3cbfa3d34f8c2927606750754dd50aaeef7ed48789e76ed26ee52e07
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