Any-to-Any
Transformers
Safetensors
English
step_audio_2
text-generation
costa
speech-to-speech
spoken-dialogue
speech-token-compression
custom_code
Instructions to use D-YZ/CoSTA-EN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use D-YZ/CoSTA-EN with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("D-YZ/CoSTA-EN", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from D-YZ/CoSTA-EN: direct link, hf CLI and curl.
- Browser
- Download file 15.6 MB
-
https://huggingface.co/D-YZ/CoSTA-EN/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://D-YZ/CoSTA-EN/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/D-YZ/CoSTA-EN/resolve/main/tokenizer_config.json
15.6 MB
- Xet hash:
- dee97327e598fa0f3de1bbdb4fa7c058e8f6f42327d46fb890bd9bf051c6a26f
- Size of remote file:
- 15.6 MB
- SHA256:
- da94a5918180a084711c19d713b182e739fdab3b7a7eb787a53b0e03f647e024
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