Instructions to use rikeshVertex/paddlevl1.5-second-run with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rikeshVertex/paddlevl1.5-second-run with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rikeshVertex/paddlevl1.5-second-run", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b81bcd686de434961e297c5797a82ccd6eac2b980de03ea39aaa0623b80f8cbd
- Size of remote file:
- 11.2 MB
- SHA256:
- c8a215a59183d0d0781adc33bacd3ce6162716f7fd568fb30234a74d69803a7d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.