Instructions to use SakshiRathi77/asr_kaggle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SakshiRathi77/asr_kaggle with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="SakshiRathi77/asr_kaggle")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("SakshiRathi77/asr_kaggle") model = AutoModelForCTC.from_pretrained("SakshiRathi77/asr_kaggle") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 586fb23389fad39e82f1e88b817b0a68d4ade200007677416e23418742f13c3c
- Size of remote file:
- 1.26 GB
- SHA256:
- 89f540c59e3049a9b0a28bf6ba5ad8de812d24d79ea31f6cfd33f3c3734cb821
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