Instructions to use syauqi14/testtransformers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use syauqi14/testtransformers with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="syauqi14/testtransformers")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("syauqi14/testtransformers") model = AutoModelForCTC.from_pretrained("syauqi14/testtransformers") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 27a303298101d96d0fdce3e25bdb07c0333bc78240c204bf2bacc4e5615103ac
- Size of remote file:
- 1.26 GB
- SHA256:
- 1fd799bd9337c833bd5aa7eff4607850c01413851ee3c8f69b238b9b6f363b8d
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