Instructions to use TopSlayer/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TopSlayer/model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="TopSlayer/model")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("TopSlayer/model") model = AutoModelForCTC.from_pretrained("TopSlayer/model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 778cbe49c8abac339d82c8849a66216fd35147e830cc627e75ce1e568c136b0e
- Size of remote file:
- 5.3 kB
- SHA256:
- df6e8c340ccaa8fd58802b86ac773f534fcf05055a9146dc246abe8b9a632032
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