Instructions to use SatwikDutta/2026-02-03_18-23-36 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SatwikDutta/2026-02-03_18-23-36 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="SatwikDutta/2026-02-03_18-23-36")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("SatwikDutta/2026-02-03_18-23-36") model = AutoModelForSpeechSeq2Seq.from_pretrained("SatwikDutta/2026-02-03_18-23-36") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8fe021646a2af08088fd19ad1dd03ddd3b8a7ccf00e81694c13f35646d769adc
- Size of remote file:
- 967 MB
- SHA256:
- 2356d010e9bf8f5296daf3bb9f9b98d9462196f7e0d890e8230a35e66cfccb09
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