frncscp/patacon-730
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How to use frncscp/pataconxt with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("image-classification", model="frncscp/pataconxt")
pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png") # Load model directly
from transformers import AutoImageProcessor, AutoModelForImageClassification
processor = AutoImageProcessor.from_pretrained("frncscp/pataconxt")
model = AutoModelForImageClassification.from_pretrained("frncscp/pataconxt", device_map="auto")This model is a fine-tuned version of facebook/convnext-large-224 on an unknown dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
| Train Loss | Validation Loss | Train Accuracy | Epoch |
|---|---|---|---|
| 0.2163 | 0.0820 | 0.9887 | 0 |
| 0.0423 | 0.0341 | 0.9910 | 1 |