Instructions to use jnmrr/ds3-img-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jnmrr/ds3-img-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="jnmrr/ds3-img-classification") 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("jnmrr/ds3-img-classification") model = AutoModelForImageClassification.from_pretrained("jnmrr/ds3-img-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload model with metrics - 2024-12-12 15:17
Verified signatured94ca4a -
Upload model with metrics - 2024-12-12 01:56
Verified signatured3a7216 -
Upload model with metrics - 2024-12-12 01:33
Verified signatureaca0a54 -
Upload model - 2024-12-12 01:23
Verified signatureeec1cd1
-
Training in progress, step 64
Verified signature37e4136 -
Training in progress, step 35
Verified signature7607727 -
initial commit
Verified signature08fd935