Instructions to use admincybers2/streamless_ava with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use admincybers2/streamless_ava with Transformers:
# Load model directly from transformers import AutoTokenizer, SeamlessM4Tv2ForSpeechToSpeech tokenizer = AutoTokenizer.from_pretrained("admincybers2/streamless_ava") model = SeamlessM4Tv2ForSpeechToSpeech.from_pretrained("admincybers2/streamless_ava", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fea260e0672360662efbc8af99ff32631ccd1f864b4184afe3d4128a77685c82
- Size of remote file:
- 30.9 MB
- SHA256:
- 1637354a5657c5de999d56a14791be92cfd20e33bb74f34f21fdbb8bb558dc82
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