Instructions to use Yuvarraj/Streaming_ASR_PSG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yuvarraj/Streaming_ASR_PSG with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Yuvarraj/Streaming_ASR_PSG")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Yuvarraj/Streaming_ASR_PSG") model = AutoModelForCTC.from_pretrained("Yuvarraj/Streaming_ASR_PSG") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 34cf66c07ea6eeddd6e5d7b4d603ecf0a52b64f0caafce231ad6348722306c90
- Size of remote file:
- 1.26 GB
- SHA256:
- 7aef99395c7b7ab5b78b6d00bdf71aebd93a7340b72d614303d598de8f94a10f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.