Instructions to use rdmpage/autotrain-8xfer-ymqrk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rdmpage/autotrain-8xfer-ymqrk with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="rdmpage/autotrain-8xfer-ymqrk") 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("rdmpage/autotrain-8xfer-ymqrk") model = AutoModelForImageClassification.from_pretrained("rdmpage/autotrain-8xfer-ymqrk") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Image Classification
Validation Metrics
loss: 0.6135068535804749
f1_macro: 0.6642156862745098
f1_micro: 0.7325581395348836
f1_weighted: 0.7024623803009576
precision_macro: 0.8029661016949152
precision_micro: 0.7325581395348837
precision_weighted: 0.762908947575877
recall_macro: 0.630297157622739
recall_micro: 0.7325581395348837
recall_weighted: 0.7325581395348837
accuracy: 0.7325581395348837
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