Instructions to use might2901/trainer-07 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use might2901/trainer-07 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="might2901/trainer-07")# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("might2901/trainer-07", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 245 Bytes
31f2405 | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"do_sample": true,
"repetition_penalty": 1.05,
"temperature": 0.9,
"top_p": 1.0,
"top_k": 50,
"subtalker_dosample": true,
"subtalker_temperature": 0.9,
"subtalker_top_p": 1.0,
"subtalker_top_k": 50,
"max_new_tokens": 8192
} |