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:
- 5be0a9d4f6d800823d5a437f2f8631667236a1d73d711564c00a6e0e4684b623
- Size of remote file:
- 2.49 GB
- SHA256:
- 8ce0e4963a2ca645972ae358e8ebff751db0ea9769c9820b55e01390be29ba56
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