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---
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
datasets:
- PingVortex/Youtube_shorts_comments
base_model:
- distilbert/distilgpt2
pipeline_tag: text-generation
library_name: transformers
---
# Youtube shorts comment generator 🧠 (I couldn't come up with a more original name)
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) |