Instructions to use eustlb/higgs-v2-archive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eustlb/higgs-v2-archive with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="eustlb/higgs-v2-archive")# Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("eustlb/higgs-v2-archive") model = AutoModelForTextToWaveform.from_pretrained("eustlb/higgs-v2-archive") - Notebooks
- Google Colab
- Kaggle
| { | |
| "bos_token_id": 1, | |
| "eos_token_id": 128009, | |
| "pad_token_id": 128001, | |
| "ras_win_len": 7, | |
| "ras_win_max_num_repeat": 2, | |
| "transformers_version": "4.57.0.dev0", | |
| "use_text_head": true | |
| } | |