Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Hindi
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use erjoy/whisper-tiny-hi-3k-steps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use erjoy/whisper-tiny-hi-3k-steps with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="erjoy/whisper-tiny-hi-3k-steps")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("erjoy/whisper-tiny-hi-3k-steps") model = AutoModelForSpeechSeq2Seq.from_pretrained("erjoy/whisper-tiny-hi-3k-steps") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7baf863b65abc96cb5caa4b858f08b5bfd6470daa31ecc79bc4344efeac83b46
- Size of remote file:
- 5.5 kB
- SHA256:
- 41ef0549e5c973f857e87121e2c6566caffbf7d24ab120bbd68811dac9f546ec
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