Instructions to use mikhail-panzo/dutch_example with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mikhail-panzo/dutch_example with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="mikhail-panzo/dutch_example")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("mikhail-panzo/dutch_example") model = AutoModelForTextToSpectrogram.from_pretrained("mikhail-panzo/dutch_example", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from mikhail-panzo/dutch_example: direct link, hf CLI and curl.
- Browser
- Download file 190 Bytes
-
https://huggingface.co/mikhail-panzo/dutch_example/resolve/main/generation_config.json
- Command line
-
hf download hf://mikhail-panzo/dutch_example/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/mikhail-panzo/dutch_example/resolve/main/generation_config.json
190 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 0, | |
| "decoder_start_token_id": 2, | |
| "eos_token_id": 2, | |
| "max_length": 1876, | |
| "pad_token_id": 1, | |
| "transformers_version": "4.40.0.dev0" | |
| } | |