Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Hindi
whisper
Generated from Trainer
Instructions to use EdBerg/whisper-small-hi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EdBerg/whisper-small-hi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="EdBerg/whisper-small-hi")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("EdBerg/whisper-small-hi") model = AutoModelForMultimodalLM.from_pretrained("EdBerg/whisper-small-hi") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 52cea46646335d6ef2bef2c6301a6f1815e2d6237550e75f9c1de5e7c954a525
- Size of remote file:
- 5.5 kB
- SHA256:
- 6655605c9635b92ef72e680ea462c2c30cb1af6f396b6236db3324cbe6aa520d
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