You can deploy this model and start earning money today!

alxho/
vit-base-patch16-224-in21k-finetuned-clementine

Name: vit-base-patch16-224-in21k-finetuned-clementine
Availability: InStock

adapter-transformers

pytorch

vit

alxho/clementine-surgery

Views

No views yet

Adapter `alxho/vit-base-patch16-224-in21k-finetuned-clementine` for google/vit-base-patch16-224-in21k

An adapter for the google/vit-base-patch16-224-in21k model that was trained on the alxho/clementine-surgery dataset and includes a prediction head for image classification.

This adapter was created for usage with the adapter-transformers library.

Usage

First, install adapter-transformers:

pip install -U adapter-transformers

Note: adapter-transformers is a fork of transformers that acts as a drop-in replacement with adapter support. More

Now, the adapter can be loaded and activated like this:

python

from transformers import AutoAdapterModel

model = AutoAdapterModel.from_pretrained("google/vit-base-patch16-224-in21k")
adapter_name = model.load_adapter("alxho/vit-base-patch16-224-in21k-finetuned-clementine", source="hf", set_active=True)

alxho/
vit-base-patch16-224-in21k-finetuned-clementine

Adapter `alxho/vit-base-patch16-224-in21k-finetuned-clementine` for google/vit-base-patch16-224-in21k

Usage

Architecture & Training

Evaluation results

Citation

alxho/vit-base-patch16-224-in21k-finetuned-clementine

Adapter alxho/vit-base-patch16-224-in21k-finetuned-clementine for google/vit-base-patch16-224-in21k

Usage

Architecture & Training

Evaluation results

Citation

alxho/
vit-base-patch16-224-in21k-finetuned-clementine

Adapter `alxho/vit-base-patch16-224-in21k-finetuned-clementine` for google/vit-base-patch16-224-in21k