Instructions to use QuantaSparkLabs/FaceVerifyAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use QuantaSparkLabs/FaceVerifyAI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-to-image", model="QuantaSparkLabs/FaceVerifyAI")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("QuantaSparkLabs/FaceVerifyAI", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dfa7e4c5d8f64266a325ba1479c44dec893b56afcf569e053eb4507065c1b9ad
- Size of remote file:
- 17.7 MB
- SHA256:
- e9720c39499af105fd4988c74fd4ffff0f5e43865be0c30358867ffc5005b835
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