Instructions to use RobinWZQ/backdoor_tiger2zebra with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RobinWZQ/backdoor_tiger2zebra with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("RobinWZQ/backdoor_tiger2zebra", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 41257c47a10dcb58abe14178fce1c6f1f8846a187700029d2ff2c06031dcbcc8
- Size of remote file:
- 1.72 GB
- SHA256:
- eecb5f23c435699c83153f94a3a867f81939f61dd89a0f0a7371f51147b3dfab
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.