Instructions to use pphildan/vit-base-patch16-224-v21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pphildan/vit-base-patch16-224-v21 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="pphildan/vit-base-patch16-224-v21") 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("pphildan/vit-base-patch16-224-v21") model = AutoModelForImageClassification.from_pretrained("pphildan/vit-base-patch16-224-v21", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model
Verified signatureThis is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.af5d9b1
-
update model card README.md
1498428 -
Model save
ef55f7a -
Training in progress, epoch 8
e74945d -
Training in progress, epoch 7
1d159f6 -
Training in progress, epoch 6
c764802 -
Training in progress, epoch 5
b630917 -
Training in progress, epoch 4
f4ca6de -
Training in progress, epoch 3
59f2603 -
Training in progress, epoch 2
93a76a7 -
Training in progress, epoch 1
c91bc73 -
initial commit
cf5b72e