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:
- a4ee020629bccd8cbf7be43e826e67be70341c48e22d7d540bbccdcb841660ab
- Size of remote file:
- 1.03 MB
- SHA256:
- 68dc6d38dd7b5e348130f144677708f624eff7bdc372c379160f7f442074be96
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