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:
- 4bebab03667694a4ee61720610b4742c6be7e11c9f380f068d7169293ff55529
- Size of remote file:
- 1.26 GB
- SHA256:
- a849e29f20604526e0b309a517b3689a22d7175ecc33c21115d1007a2afc8c3d
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