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")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("ChasingMercer/weather-mod") model = AutoModelForImageClassification.from_pretrained("ChasingMercer/weather-mod") - Notebooks
- Google Colab
- Kaggle
Commit ·
301267e
1
Parent(s): 48be4ac
Training in progress, epoch 1
Browse files- pytorch_model.bin +1 -1
- runs/Mar12_14-21-12_pop-os/1678632014.3413851/events.out.tfevents.1678632014.pop-os.15701.16 +3 -0
- runs/Mar12_14-21-12_pop-os/1678633047.8466594/events.out.tfevents.1678633047.pop-os.15701.17 +3 -0
- runs/Mar12_14-21-12_pop-os/events.out.tfevents.1678631128.pop-os.15701.13 +2 -2
- runs/Mar12_14-21-12_pop-os/events.out.tfevents.1678632014.pop-os.15701.15 +3 -0
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