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:
- 1f93afb7e24af8cbeb26b5ab48f0d06359d14812cd778cd8b14ad43b5a987bad
- Size of remote file:
- 5.24 kB
- SHA256:
- 6c7cdf805624f4375fe6e922c4c55f87ee04e2019434844b0205ea3824574f02
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