Instructions to use timm/convnextv2_tiny.fcmae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use timm/convnextv2_tiny.fcmae with timm:
import timm model = timm.create_model("hf_hub:timm/convnextv2_tiny.fcmae", pretrained=True) - Transformers
How to use timm/convnextv2_tiny.fcmae with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="timm/convnextv2_tiny.fcmae")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("timm/convnextv2_tiny.fcmae", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Change pipeline tag to image-feature-extraction (#2)
Browse files- Change pipeline tag to image-feature-extraction (57c85a91c66694a760c02c258b4a804d0eb5d559)
Co-authored-by: Merve Noyan <merve@users.noreply.huggingface.co>