Instructions to use Splend1dchan/wav2vec2-large-lv60_t5lephonev2-small_textdecoderonly_bs64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Splend1dchan/wav2vec2-large-lv60_t5lephonev2-small_textdecoderonly_bs64 with Transformers:
# Load model directly from transformers import SpeechMixEEDT5 model = SpeechMixEEDT5.from_pretrained("Splend1dchan/wav2vec2-large-lv60_t5lephonev2-small_textdecoderonly_bs64", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 03a77959536060ad1ea529cee4a46c45fd18e7b8a6e5e3fe903fe24a39f75359
- Size of remote file:
- 3.38 kB
- SHA256:
- e38656d0dbdd58abafd40b0fa7455b6fbbd8b90c71f78de99734ebfcc37e049e
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