Instructions to use minchul/cvlface_adaface_vit_base_kprpe_webface4m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use minchul/cvlface_adaface_vit_base_kprpe_webface4m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="minchul/cvlface_adaface_vit_base_kprpe_webface4m", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("minchul/cvlface_adaface_vit_base_kprpe_webface4m", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
AttributeError: 'NoneType' object has no attribute 'unsqueeze'
#2 opened almost 2 years ago
by
benben2000
Outdated function get_models() used
6
#1 opened almost 2 years ago
by
druefena