Instructions to use pirxus/s2t_ctc_encoder_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pirxus/s2t_ctc_encoder_base with Transformers:
# Load model directly from transformers import Speech2TextEncoderForCTC model = Speech2TextEncoderForCTC.from_pretrained("pirxus/s2t_ctc_encoder_base", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 50cd95b7fd4d07dfabe3821afd74d28dcf2412c2694355472aeb8e6180e466e1
- Size of remote file:
- 84.4 MB
- SHA256:
- 1bff7ec293f1ab4e713c0b3f717035292ad185b0f48edf357da6dec4fd02aba6
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