Automatic Speech Recognition
Transformers
Safetensors
Hindi
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use Noumida/whisper-tiny-hi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Noumida/whisper-tiny-hi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Noumida/whisper-tiny-hi")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Noumida/whisper-tiny-hi") model = AutoModelForSpeechSeq2Seq.from_pretrained("Noumida/whisper-tiny-hi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 931690dab52d29bee80aa4cf84ad868c20a8cdc669d2e62b09452c26ee1eab5f
- Size of remote file:
- 5.5 kB
- SHA256:
- 9b938b8abbf16b4d5307f5cc8e8fccf476e8533c5656047a6cf6efcac878b2a3
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