Instructions to use 0x3/ultraVAD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 0x3/ultraVAD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="0x3/ultraVAD", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("0x3/ultraVAD", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8070f37337f3e4be2a3eefd71fd418b064dc61a83fd1e7c3fda16be6de099832
- Size of remote file:
- 17.2 MB
- SHA256:
- e87771bfea74770d36a1432b5f9ba6d7f611d33fb63681d10c2479540c1591f8
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