Instructions to use nineninesix/kani-tts-400m-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nineninesix/kani-tts-400m-de with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="nineninesix/kani-tts-400m-de")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("nineninesix/kani-tts-400m-de") model = AutoModelForCausalLM.from_pretrained("nineninesix/kani-tts-400m-de", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
1bb2094 | 1 2 3 4 5 6 7 8 | {
"_from_model_config": true,
"bos_token_id": 1,
"eos_token_id": 7,
"pad_token_id": 0,
"transformers_version": "4.56.0"
}
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