Image Classification
Transformers
PyTorch
TensorBoard
beit
Generated from Trainer
Eval Results (legacy)
Instructions to use ChasingMercer/weather-mod with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ChasingMercer/weather-mod with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ChasingMercer/weather-mod") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("ChasingMercer/weather-mod") model = AutoModelForImageClassification.from_pretrained("ChasingMercer/weather-mod", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Model save
869d252 -
Training in progress, epoch 3
b1e0432 -
Training in progress, epoch 1
b3efbb1
-
Model save
ce09b5c -
Training in progress, epoch 5
6b8dacc -
Training in progress, epoch 1
301267e -
Training in progress, epoch 1
48be4ac