Instructions to use ModalityDance/latent-tts-rm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ModalityDance/latent-tts-rm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ModalityDance/latent-tts-rm")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ModalityDance/latent-tts-rm") model = AutoModelForTokenClassification.from_pretrained("ModalityDance/latent-tts-rm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from ModalityDance/latent-tts-rm: direct link, hf CLI and curl.
- Browser
- Download file 498 MB
-
https://huggingface.co/ModalityDance/latent-tts-rm/resolve/main/model.safetensors
- Command line
-
hf download hf://ModalityDance/latent-tts-rm/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/ModalityDance/latent-tts-rm/resolve/main/model.safetensors
498 MB
- Xet hash:
- a093850f9d9190d56c205d3843aea12d61297368980a4a75c48ad2e439dc1fcf
- Size of remote file:
- 498 MB
- SHA256:
- ae818be7722c1e725b55ea749c7ca34fc5655d271426afbfa81c218fa956a981
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