Instructions to use joaoalvarenga/model-sid-voxforge-cetuc-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joaoalvarenga/model-sid-voxforge-cetuc-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="joaoalvarenga/model-sid-voxforge-cetuc-1")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("joaoalvarenga/model-sid-voxforge-cetuc-1") model = AutoModelForCTC.from_pretrained("joaoalvarenga/model-sid-voxforge-cetuc-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e5994f6d6764c1295fb628d7ffc96adc4025bfe5c7555649269898fd11efc978
- Size of remote file:
- 1.26 GB
- SHA256:
- 661a3724db4b0148272008dc888f543b2e35e2b6664103bf345510131c9f9143
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.