Instructions to use Vkt/first_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vkt/first_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Vkt/first_model")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Vkt/first_model") model = AutoModelForCTC.from_pretrained("Vkt/first_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Apr01_13-32-26_a6838e6e7b70
- Apr01_13-35-59_a6838e6e7b70
- Apr01_13-44-39_a6838e6e7b70
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- Apr01_14-50-59_a6838e6e7b70
- Apr01_14-52-41_a6838e6e7b70
- Apr01_14-57-59_a6838e6e7b70
- May17_17-01-00_dsbrwavvec2-0
- May18_13-33-16_dsbrwavvec2-0
- May18_13-45-37_dsbrwavvec2-0
- May20_13-10-53_dsbrwavvec2-0