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
File size: 2,009 Bytes
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"backend": "tokenizers",
"bos_token": "<s>",
"clean_up_tokenization_spaces": true,
"cls_token": "<s>",
"eos_token": "</s>",
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"__eng__",
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],
"is_local": false,
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"model_max_length": 1000000000000000019884624838656,
"pad_token": "<pad>",
"processor_class": "SeamlessM4TProcessor",
"sep_token": "</s>",
"sp_model_kwargs": {},
"src_lang": "__eng__",
"tgt_lang": "__fra__",
"tokenizer_class": "SeamlessM4TTokenizer",
"unk_token": "<unk>"
}
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