Instructions to use eustlb/higgs-audio-v2-generation-3B-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eustlb/higgs-audio-v2-generation-3B-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="eustlb/higgs-audio-v2-generation-3B-base")# Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("eustlb/higgs-audio-v2-generation-3B-base") model = AutoModelForTextToWaveform.from_pretrained("eustlb/higgs-audio-v2-generation-3B-base") - Notebooks
- Google Colab
- Kaggle
File size: 405 Bytes
2cecd7a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | {
"backend": "tokenizers",
"bos_token": "<|begin_of_text|>",
"clean_up_tokenization_spaces": true,
"eos_token": "<|end_of_text|>",
"is_local": false,
"model_input_names": [
"input_ids",
"attention_mask"
],
"model_max_length": 131072,
"pad_token": "<|end_of_text|>",
"processor_class": "HiggsAudioV2Processor",
"tokenizer_class": "TokenizersBackend",
"trust_remote": true
}
|