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
File size: 228 Bytes
4e7dc06 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"_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"
}
|