Instructions to use krirk/base-asr-with-tpbs-exp02 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use krirk/base-asr-with-tpbs-exp02 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="krirk/base-asr-with-tpbs-exp02")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("krirk/base-asr-with-tpbs-exp02") model = AutoModelForCTC.from_pretrained("krirk/base-asr-with-tpbs-exp02") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 883dd3a16345745d17442756bce0bc864b2db7230f681d55d29798b5ac1facdd
- Size of remote file:
- 3.58 kB
- SHA256:
- 17e1603ee5f1d68a142f5d33b22af49ca0fc438498c18a9e593dd94d9836e0f3
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