Instructions to use cuong4941/csm1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cuong4941/csm1b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="cuong4941/csm1b")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("cuong4941/csm1b") model = AutoModelForTextToWaveform.from_pretrained("cuong4941/csm1b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from cuong4941/csm1b: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/cuong4941/csm1b/resolve/main/tokenizer.json
- Command line
-
hf download hf://cuong4941/csm1b/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/cuong4941/csm1b/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- ef471e4e29eea3d7a3f55a1ff351e8fd993ef8a101ccd0a14fbdb940891139e2
- Size of remote file:
- 17.2 MB
- SHA256:
- 529d18ee0f18a8a446ae0b4310c6675823231b366a7ea3fddfc488cf7f2277d6
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