Instructions to use Hemgg/Birds-species-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hemgg/Birds-species-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Hemgg/Birds-species-classification") 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("Hemgg/Birds-species-classification") model = AutoModelForImageClassification.from_pretrained("Hemgg/Birds-species-classification") - Notebooks
- Google Colab
- Kaggle
Birds-Species-classification
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1943
- Accuracy: 0.9527
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
- Downloads last month
- 7
Model tree for Hemgg/Birds-species-classification
Base model
google/vit-base-patch16-224-in21k