Delete README.md

README.md

@@ -1,79 +0,0 @@
----
-tags:
-- visual-question-answering
-license: apache-2.0
-widget:
-- text: "What's the animal doing?"
-  src: "https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg"
-- text: "What is on top of the building?"
-  src: "https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg"
----
-
-# Vision-and-Language Transformer (ViLT), fine-tuned on VQAv2
-
-Vision-and-Language Transformer (ViLT) model fine-tuned on [VQAv2](https://visualqa.org/). It was introduced in the paper [ViLT: Vision-and-Language Transformer
-Without Convolution or Region Supervision](https://arxiv.org/abs/2102.03334) by Kim et al. and first released in [this repository](https://github.com/dandelin/ViLT). 
-
-Disclaimer: The team releasing ViLT did not write a model card for this model so this model card has been written by the Hugging Face team.
-
-## Intended uses & limitations
-
-You can use the raw model for visual question answering. 
-
-### How to use
-
-Here is how to use this model in PyTorch:
-
-```python
-from transformers import ViltProcessor, ViltForQuestionAnswering
-import requests
-from PIL import Image
-
-# prepare image + question
-url = "http://images.cocodataset.org/val2017/000000039769.jpg"
-image = Image.open(requests.get(url, stream=True).raw)
-text = "How many cats are there?"
-
-processor = ViltProcessor.from_pretrained("dandelin/vilt-b32-finetuned-vqa")
-model = ViltForQuestionAnswering.from_pretrained("dandelin/vilt-b32-finetuned-vqa")
-
-# prepare inputs
-encoding = processor(image, text, return_tensors="pt")
-
-# forward pass
-outputs = model(**encoding)
-logits = outputs.logits
-idx = logits.argmax(-1).item()
-print("Predicted answer:", model.config.id2label[idx])
-```
-
-## Training data
-
-(to do)
-
-## Training procedure
-
-### Preprocessing
-
-(to do)
-
-### Pretraining
-
-(to do)
-
-## Evaluation results
-
-(to do)
-
-### BibTeX entry and citation info
-
-```bibtex
-@misc{kim2021vilt,
-      title={ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision}, 
-      author={Wonjae Kim and Bokyung Son and Ildoo Kim},
-      year={2021},
-      eprint={2102.03334},
-      archivePrefix={arXiv},
-      primaryClass={stat.ML}
-}
-```