Instructions to use yarik921/Teflon_0.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yarik921/Teflon_0.2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="yarik921/Teflon_0.2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("yarik921/Teflon_0.2") model = AutoModelForCTC.from_pretrained("yarik921/Teflon_0.2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
82104ff | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:910faa89215ceec2f0d59067ecec621e3d83e3c17732bddc99f1d45214617f48
size 1262112241
|