Add pipeline tag and library name (#1)

- Add pipeline tag and library name (963ed2c826993b98483a1550a017eabfa3d0e0d5)


Co-authored-by: Niels Rogge <[email protected]>

README.md

@@ -1,5 +1,7 @@
 ---
 license: mit
+library_name: transformers
+pipeline_tag: image-classification
 ---
 
 # Unlocking the Hidden Potential of CLIP in Generalizable Deepfake Detection
@@ -39,7 +41,7 @@ Generalization of models trained on the FF++ dataset to unseen datasets and forg
 
 ## Example
 
-Find the code in our [github](https://github.com/yermandy/deepfake-detection) project. Read `inference.py`, it automatically downloads the model from [huggingface](https://huggingface.co/yermandy/deepfake-detection/tree/main) to and runs inference on sample images. Make sure to have the required dependencies installed before running the script.
+Find the code in our [github](https://github.com/yermandy/deepfake-detection) project. Read `inference.py`, it automatically downloads the model from [huggingface](https://huggingface.co/yermandy/deepfake-detection/tree/main) and runs inference on sample images. Make sure to have the required dependencies installed before running the script.
 
 ``` bash
 python inference.py
@@ -60,4 +62,4 @@ python inference.py
     primaryClass={cs.CV},
     url={https://arxiv.org/abs/2503.19683}, 
 }
-```
+```