Instructions to use baddii/baddii13_01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use baddii/baddii13_01 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="baddii/baddii13_01")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("baddii/baddii13_01", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from baddii/baddii13_01: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
-
https://huggingface.co/baddii/baddii13_01/resolve/main/tokenizer.json
- Command line
-
hf download hf://baddii/baddii13_01/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/baddii/baddii13_01/resolve/main/tokenizer.json
2.42 MB
File too large to display, you can check the raw version instead.