Update README.md

README.md

@@ -39,11 +39,18 @@ They are trained to classify speech as either "Real" 🟢 or "Fake" 🔴.
 - **Evaluation Metrics**: Equal Error Rate (EER), ROC AUC, Accuracy, Precision, Recall, F1 Score.
 
 # 🚀 **Inference with PyTorch**
-📦 Dependencies:
+
+⚠️ **Important:**  
+To run inference with this model, you need to install a specific version of `fairseq` and make manual code modifications. For detailed instructions, please refer to the installation guide in our [GitHub repository](https://github.com/nii-yamagishilab/Ultra-SSL-AntiDeepfake).
+
+For a quicker inference experience, we recommend trying our other SSL-AntiDeepfake models:  
+- [MMS-300M-AntiDeepfake](https://huggingface.co/nii-yamagishilab/mms-300m-anti-deepfake)  
+- [MMS-1B-AntiDeepfake](https://huggingface.co/nii-yamagishilab/mms-1b-anti-deepfake)
+
+📦 Dependencies after manual code modifications:
 ```
-pip install pip==23.1.1
-pip install huggingface-hub fairseq safetensors soundfile
-(pip install huggingface-hub==0.31.1 fairseq==0.12.2 safetensors==0.5.3 soundfile==0.13.1)
+pip install huggingface-hub safetensors soundfile
+(pip install huggingface-hub==0.31.1 safetensors==0.5.3 soundfile==0.13.1)
 ```
 
 🚀 Inference: