Instructions to use facebook/dino-vitb8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/dino-vitb8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="facebook/dino-vitb8")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("facebook/dino-vitb8") model = AutoModel.from_pretrained("facebook/dino-vitb8") - Notebooks
- Google Colab
- Kaggle
Error while using it in kaggle
#4
by rohitchaudhari25 - opened
I get below error after i tried usign this model on kaggle
Some weights of ViTModel were not initialized from the model checkpoint at /kaggle/input/facebookdino-vitb8/transformers/default/1 and are newly initialized: ['pooler.dense.bias', 'pooler.dense.weight']
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
I want to use this model to extract pooler output as feature vector of image for downstream classification task.
