Instructions to use PaddleCI/tiny-random-unimo-text-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- paddlenlp
How to use PaddleCI/tiny-random-unimo-text-1.0 with paddlenlp:
from paddlenlp.transformers import AutoTokenizer, UNIMOLMHeadModel tokenizer = AutoTokenizer.from_pretrained("PaddleCI/tiny-random-unimo-text-1.0", from_hf_hub=True) model = UNIMOLMHeadModel.from_pretrained("PaddleCI/tiny-random-unimo-text-1.0", from_hf_hub=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da035ccae3cd26ebb57c57b6eeeef1ff89884f2621e782731270166bf09f32d0
- Size of remote file:
- 1.25 MB
- SHA256:
- 1be8ebdcc84c1dd06c9f299635e58c649d59a2ae27e831c18f57667aa1be12b0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.