Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Hindi
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use procit008/whisper_small_stt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use procit008/whisper_small_stt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="procit008/whisper_small_stt")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("procit008/whisper_small_stt") model = AutoModelForSpeechSeq2Seq.from_pretrained("procit008/whisper_small_stt") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e337bce129e1a7b2b52a189f86825146e77c92ec5f705168c08201ec427a659e
- Size of remote file:
- 5.5 kB
- SHA256:
- dac0fb0a89f99ab45643a806eb16bcfd9fde8670826c43288180a2555ef5683b
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