Any-to-Any
Transformers
Safetensors
Chinese
step_audio_2
text-generation
costa
speech-to-speech
spoken-dialogue
speech-token-compression
custom_code
Instructions to use D-YZ/CoSTA-ZH with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use D-YZ/CoSTA-ZH with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("D-YZ/CoSTA-ZH", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from D-YZ/CoSTA-ZH: direct link, hf CLI and curl.
- Browser
- Download file 27.9 MB
-
https://huggingface.co/D-YZ/CoSTA-ZH/resolve/main/tokenizer.json
- Command line
-
hf download hf://D-YZ/CoSTA-ZH/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/D-YZ/CoSTA-ZH/resolve/main/tokenizer.json
27.9 MB
- Xet hash:
- 72f3a9645af430a7a0ad292e5e4a35e4d9a466c7a456773b3719329ce9fef1d5
- Size of remote file:
- 27.9 MB
- SHA256:
- ba816b2b1d7406c9076b18cd32ed6d3930279895c3c34bff1d9f377b72aaaddf
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