Instructions to use cuong4941/csm1b-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cuong4941/csm1b-final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="cuong4941/csm1b-final")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("cuong4941/csm1b-final") model = AutoModelForTextToWaveform.from_pretrained("cuong4941/csm1b-final", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from cuong4941/csm1b-final: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/cuong4941/csm1b-final/resolve/main/tokenizer.json
- Command line
-
hf download hf://cuong4941/csm1b-final/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/cuong4941/csm1b-final/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- d96583ffdb9c5efed8a822d01e7aac88bd6e6ab74aad31659bac47a5225d2ee8
- Size of remote file:
- 17.2 MB
- SHA256:
- 80f511469b4aceda8c17ccafef2310eceeda9dd4589cf2c062bd0279eef5646d
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