Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
whisper
Generated from Trainer
Instructions to use tensorboy/whisper-tiny-hi2_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tensorboy/whisper-tiny-hi2_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="tensorboy/whisper-tiny-hi2_test")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("tensorboy/whisper-tiny-hi2_test") model = AutoModelForSpeechSeq2Seq.from_pretrained("tensorboy/whisper-tiny-hi2_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f05ec53f6723e4740bb9e05152d91addddd73c9977885afd2184beedd8880915
- Size of remote file:
- 151 MB
- SHA256:
- 802a25ee7db91faba0d8c4d8ea560053183efcadf455712cb855292076f680e4
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