Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Hindi
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use Brian42521/whisper-small-hi-exp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Brian42521/whisper-small-hi-exp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Brian42521/whisper-small-hi-exp")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Brian42521/whisper-small-hi-exp") model = AutoModelForSpeechSeq2Seq.from_pretrained("Brian42521/whisper-small-hi-exp") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d5d1746793f873880a349a899d5b0e950f596da377b24b8d06c5821b1f4d85f
- Size of remote file:
- 5.39 kB
- SHA256:
- ac8ba2494c8b1f05ca9d9c9c1afbaa119ee8c1fc5afa13ec839f045b9d095000
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