Create README.md

1. use the code from [run_clip.py](.https://github.com/huggingface/transformers/tree/main/examples/pytorch/contrastive-image-text)
```shell
python -W ignore run_clip.py --model_name_or_path openai/clip-vit-large-patch14 \
--output_dir ./clip-vit-l-14-pmc-finetuned \
--train_file data/pmc_roco_train.csv \
--validation_file data/pmc_roco_valid.csv \
--image_column image --caption_column caption \
--max_seq_length 77 \
--do_train --do_eval \
--per_device_train_batch_size 16 --per_device_eval_batch_size 8 \
--remove_unused_columns=False \
--learning_rate="5e-5" --warmup_steps="0" --weight_decay 0.1 \
--overwrite_output_dir \
--num_train_epochs 10 \
--logging_dir ./pmc_vit_logs \
--save_total_limit 2 \
--report_to tensorboard \
```

README.md

@@ -0,0 +1,6 @@
+---
+datasets:
+- axiong/pmc_oa
+language:
+- en
+---