Instructions to use SHENMU007/neunit_BASE_V7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit_BASE_V7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit_BASE_V7")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit_BASE_V7") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit_BASE_V7") - Notebooks
- Google Colab
- Kaggle
| { | |
| "bos_token": "<s>", | |
| "clean_up_tokenization_spaces": true, | |
| "eos_token": "</s>", | |
| "model_max_length": 600, | |
| "pad_token": "<pad>", | |
| "processor_class": "SpeechT5Processor", | |
| "sp_model_kwargs": {}, | |
| "tokenizer_class": "SpeechT5Tokenizer", | |
| "unk_token": "<unk>" | |
| } | |