Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
whisper
Generated from Trainer
Instructions to use SamagraDataGov/whisper-tiny-hi2_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SamagraDataGov/whisper-tiny-hi2_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="SamagraDataGov/whisper-tiny-hi2_test")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("SamagraDataGov/whisper-tiny-hi2_test") model = AutoModelForSpeechSeq2Seq.from_pretrained("SamagraDataGov/whisper-tiny-hi2_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0730cdf57f0c158056259b72adba28fb9af89b1701b5d274f0da2b2922e5381d
- Size of remote file:
- 151 MB
- SHA256:
- f09e49e328a3915386f14945c2e8d5d74517523f1aea394e2c3dc74ebf469929
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