Instructions to use od2025/pi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use od2025/pi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="od2025/pi")# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("od2025/pi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 1025, | |
| "decoder_start_token_id": 1025, | |
| "min_new_tokens": 10, | |
| "do_sample": true, | |
| "eos_token_id": 1024, | |
| "guidance_scale": 1, | |
| "max_length": 2580, | |
| "pad_token_id": 1024, | |
| "transformers_version": "4.40.2" | |
| } | |