Instructions to use SatwikDutta/2026-02-25_02-15-51 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SatwikDutta/2026-02-25_02-15-51 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="SatwikDutta/2026-02-25_02-15-51")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("SatwikDutta/2026-02-25_02-15-51") model = AutoModelForSpeechSeq2Seq.from_pretrained("SatwikDutta/2026-02-25_02-15-51") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 39de97c92479caae30642d658ce5cf1cfb4f60bfa5171b8286b19eb3bd8867a0
- Size of remote file:
- 967 MB
- SHA256:
- f628f5be7cd848d2110f5c3b6243e0b4bf1b9d9329f646120a017cccf503fb63
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