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:
- 4de0921fe7dabe91ea82e1d88f9de6079d274cb1a8a58e9ad9f530f500a7177d
- Size of remote file:
- 5.24 kB
- SHA256:
- 767a339ae784e4e2055db7eadefcdc190b9171a0a90225fa68122ab68b97bf5b
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