Update README.md

README.md

@@ -1,3 +1,71 @@
----
-license: apache-2.0
----
+---
+license: cc0-1.0
+language:
+- en
+- fr
+- tr
+tags:
+- art
+- emoji
+- brainrot
+- text-generation
+pretty_name: DistilGPT2 fine-tuned on YouTube Shorts comments
+size_categories:
+- 10M<n<100M
+---
+
+# Youtube-shorts-comment-generator 🧠🌀
+
+A **fine-tuned DistilGPT2 model** trained on 1.4M+ YouTube Shorts comments - the perfect language model for generating cursed internet humor, emoji spam, and authentic YouTube degeneracy.
+
+- Base model: [distilgpt2](https://huggingface.co/distilgpt2)
+- Trained on: [YouTube Shorts Comments Dataset](https://huggingface.co/datasets/PingVortex/Youtube_shorts_comments)
+- Creator: [PingVortex](https://github.com/PingVortex)
+
+## Model Details 🔥
+
+- **Parameters**: 82M (DistilGPT2 architecture)
+- **Training Data**: 1,475,500 YouTube Shorts comments
+- **Special Skills**: Emoji generation, broken English, random character generation
+
+## Usage Example 🐍
+
+```python
+from transformers import pipeline
+
+brainrot = pipeline('text-generation', model='PingVortex/Youtube-shorts-comment-generator')
+
+output = brainrot("When you see a Sigma edit:", max_length=50)
+print(output[0]['generated_text'])
+```
+
+*Sample output:*  
+`"When you see a Sigma edit: 😂😂😂😂 The white one on the last pic?😂😂😂😅😅😅😊😊😊😅😮😮😅"`
+
+## Training Info ⚙️
+
+- **Epochs**: 1
+- **Batch Size**: 8
+- **Hardware**: Google Colab T4 GPU
+- **Training Time**: ~2 hours
+- **Loss**: 0.24
+
+## Ethical Considerations ⚠️
+
+This model may generate:
+- Extreme emoji spam (🔥💀🤣)
+- Nonsensical combinations
+- Mild brain damage
+- Occasional coherent text
+
+Use responsibly (or irresponsibly, we don't judge).
+
+## License 📜
+
+**CC0 1.0 Universal** (Public Domain)  
+*Go nuts - no restrictions*
+
+## Shoutouts 🔊
+
+- Subscribe to [FaceDev](https://youtube.com/@FaceDevStuff)
+- Join my [Discord](https://discord.gg/At3CcCqcR2)