Image Classification
Transformers
TensorBoard
Safetensors
beit
Generated from Trainer
Eval Results (legacy)
Instructions to use mateoluksenberg/dit-base-Classifier_CM05_V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mateoluksenberg/dit-base-Classifier_CM05_V2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="mateoluksenberg/dit-base-Classifier_CM05_V2") 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("mateoluksenberg/dit-base-Classifier_CM05_V2") model = AutoModelForImageClassification.from_pretrained("mateoluksenberg/dit-base-Classifier_CM05_V2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload all_results.json
Verified signature3e22c6e -
Upload all_results.json
Verified signature23f55d1 -
Upload trainer_state.json
Verified signature28a63d3 -
Model save
Verified signature9b83453 -
Training in progress, epoch 15
Verified signature9b80303 -
Training in progress, epoch 10
Verified signature7de875e -
Training in progress, epoch 5
Verified signature38b067e -
Training in progress, epoch 1
Verified signaturee24c503 -
initial commit
Verified signaturef34bf91