Instructions to use bn22/wd-eva02-large-tagger-v3-224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bn22/wd-eva02-large-tagger-v3-224 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="bn22/wd-eva02-large-tagger-v3-224")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("bn22/wd-eva02-large-tagger-v3-224") model = AutoModel.from_pretrained("bn22/wd-eva02-large-tagger-v3-224", device_map="auto") - timm
How to use bn22/wd-eva02-large-tagger-v3-224 with timm:
import timm model = timm.create_model("hf_hub:bn22/wd-eva02-large-tagger-v3-224", pretrained=True) - Notebooks
- Google Colab
- Kaggle
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