Instructions to use timm/convnextv2_base.fcmae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use timm/convnextv2_base.fcmae with timm:
import timm model = timm.create_model("hf-hub:timm/convnextv2_base.fcmae", pretrained=True) - Transformers
How to use timm/convnextv2_base.fcmae with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="timm/convnextv2_base.fcmae")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("timm/convnextv2_base.fcmae", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
d419d67 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:d03e31da718f7c0bdb2e79b9f003315ed14c7c0591d17a0cb7bce15c39cd53b7
size 350900909
|