Instructions to use yarik921/Teflon_0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yarik921/Teflon_0.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="yarik921/Teflon_0.1")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("yarik921/Teflon_0.1") model = AutoModelForCTC.from_pretrained("yarik921/Teflon_0.1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload pytorch_model.bin with git-lfs
44d5c39 -
Upload vocab.json
4f2d1ac -
Upload tokenizer_config.json
2f33217 -
Upload special_tokens_map.json
b2ade06 -
Upload config.json
d629262 -
Upload preprocessor_config.json
b787f03 -
initial commit
3718b10