Instructions to use XinXuNLPer/MuseCoco_text2attribute with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use XinXuNLPer/MuseCoco_text2attribute with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("XinXuNLPer/MuseCoco_text2attribute") model = AutoModel.from_pretrained("XinXuNLPer/MuseCoco_text2attribute") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 72d9cf03b00006f26a1a15e20c174629e1df6a6faa0548e8f0bdef4200938c9e
- Size of remote file:
- 3.44 kB
- SHA256:
- 23a98370963377b887bc86f94f27dd21510a1c697e1c0334a6bacd6b7818e450
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.