Instructions to use AkmalAshirmatov/first_try with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AkmalAshirmatov/first_try with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="AkmalAshirmatov/first_try")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("AkmalAshirmatov/first_try") model = AutoModelForCTC.from_pretrained("AkmalAshirmatov/first_try") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 863f94b76e84c4c41e1b0ecf8dedf0c43f993a997058711e904d82d2c8cf2176
- Size of remote file:
- 2.8 kB
- SHA256:
- 916efde3eeb659e8fa475ea89cecbb77fa8ebeb4c3419ff91c52d6dc37ff1bd3
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