Instructions to use selectmixer/AUD_MED1.5B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use selectmixer/AUD_MED1.5B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="selectmixer/AUD_MED1.5B")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("selectmixer/AUD_MED1.5B") model = AutoModelForTextToWaveform.from_pretrained("selectmixer/AUD_MED1.5B") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 2048, | |
| "decoder_start_token_id": 2048, | |
| "do_sample": true, | |
| "guidance_scale": 3.0, | |
| "max_length": 1500, | |
| "pad_token_id": 2048, | |
| "transformers_version": "4.31.0.dev0" | |
| } | |