Instructions to use Mooshie/convnextv2_huge.dbv4-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use Mooshie/convnextv2_huge.dbv4-full with timm:
import timm model = timm.create_model("hf_hub:Mooshie/convnextv2_huge.dbv4-full", pretrained=True) - Transformers
How to use Mooshie/convnextv2_huge.dbv4-full with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Mooshie/convnextv2_huge.dbv4-full") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Mooshie/convnextv2_huge.dbv4-full", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| category,name,alpha,threshold,f1,precision,recall | |
| 0,general,1.0,0.38,0.685090329194269,0.6732974998130495,0.6973036267335329 | |
| 4,character,1.0,0.51,0.9457540360090104,0.9618129946021976,0.930222529196658 | |
| 9,rating,1.0,0.24000000000000002,0.828248843557246,0.7895431723985823,0.8709450692041523 | |