Instructions to use dd101bb/latent-tts-colar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dd101bb/latent-tts-colar with Transformers:
# Load model directly from transformers import AutoTokenizer, ColarLlama tokenizer = AutoTokenizer.from_pretrained("dd101bb/latent-tts-colar") model = ColarLlama.from_pretrained("dd101bb/latent-tts-colar", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0eea878617cb9df5056347c74e804dffd765f628c24ffae9e435a6aff2934abb
- Size of remote file:
- 17.2 MB
- SHA256:
- 40497d2099c4f6bc2d4d03442081e08c8f3b4f11fbbf340c2e2e90b5769f91a4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.