Update README.md

README.md

@@ -57,13 +57,6 @@ During training the following transforms were applied randomly with a 50% chance
 * transforms.Lambda(lambda img: ImageEnhance.Sharpness(img).enhance(random.uniform(0.5, 1.5)))
 * transforms.Lambda(lambda img: img.filter(ImageFilter.GaussianBlur(radius=random.uniform(0, 2))))
 
-Fine-tuned model files can be found here:  [huggingface.co/k4tel/vit-historical-page](https://huggingface.co/k4tel/vit-historical-page) 🔗
-
-- **Developed by** [UFAL](https://ufal.mff.cuni.cz/home-page)
-- **Funded by** [ATRIUM](https://atrium-research.eu/) 
-- **Shared by** [ATRIUM](https://atrium-research.eu/) & [UFAL](https://ufal.mff.cuni.cz/home-page)
-- **Model type:** fine-tuned [ViT of 224x224 pixels resolution](https://huggingface.co/google/vit-base-patch16-224) 🔗
-
 ### Training Hyperparameters
         
 * eval_strategy "epoch"