Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Hindi
whisper
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Instructions to use korbih/whisper-small-hi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use korbih/whisper-small-hi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="korbih/whisper-small-hi")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("korbih/whisper-small-hi") model = AutoModelForSpeechSeq2Seq.from_pretrained("korbih/whisper-small-hi") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d1e45ab2ed224db68adf8db87d63b77baf95397bee33760a83822e8a5134429
- Size of remote file:
- 5.05 kB
- SHA256:
- 95e2c485cf4409fa00a45fdfea006abb8cb6c857a954ff33b5df7915bab8177c
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