Instructions to use JOECHAN890/beitv2-base-beans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JOECHAN890/beitv2-base-beans with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="JOECHAN890/beitv2-base-beans") 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("JOECHAN890/beitv2-base-beans") model = AutoModelForImageClassification.from_pretrained("JOECHAN890/beitv2-base-beans", device_map="auto") - timm
How to use JOECHAN890/beitv2-base-beans with timm:
import timm model = timm.create_model("hf-hub:JOECHAN890/beitv2-base-beans", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, epoch 1
Verified signaturee4247d9
-
Training in progress, epoch 1
Verified signature3447bc2 -
Training in progress, epoch 2
Verified signature8d42cc3
-
Training in progress, epoch 10
Verified signature2c33d39 -
Training in progress, epoch 6
Verified signaturea163e80
-
Training in progress, epoch 1
Verified signature4a9909e -
Training in progress, epoch 1
Verified signature2cd90d9
-
Training in progress, epoch 1
Verified signature2b2119b -
Training in progress, epoch 1
Verified signatureb369b49
-
Training in progress, epoch 1
Verified signatureebbb082
-
Training in progress, epoch 1
Verified signature4790b16