Instructions to use might2901/trainer-06 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use might2901/trainer-06 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="might2901/trainer-06")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("might2901/trainer-06") model = AutoModelForCausalLM.from_pretrained("might2901/trainer-06") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 128000, | |
| "do_sample": true, | |
| "eos_token_id": [ | |
| 128009, | |
| 128258 | |
| ], | |
| "pad_token_id": 128263, | |
| "temperature": 0.6, | |
| "top_p": 0.9, | |
| "transformers_version": "4.57.1" | |
| } | |