Instructions to use valhalla/wdser-512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use valhalla/wdser-512 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("valhalla/wdser-512", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b24c078680bf260adbd546c284b2a9fb8ca27e423716d951a6920e9f5ecb3f98
- Size of remote file:
- 56.7 MB
- SHA256:
- fdb330a4bd2c39f239852cb6bb02dbeaa9e9cb9d507cea5d22da1e5e16daaaa7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.