Youtube shorts comment generator
- Base model: distilgpt2
- Trained on: YouTube Shorts Comments Dataset
Model Details
- Parameters: 82M (DistilGPT2 architecture)
- Training Data: 1,475,500 YouTube Shorts comments
Usage Example
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: ๐๐๐๐ The white one on the last pic?๐๐๐๐
๐
๐
๐๐๐๐
๐ฎ๐ฎ๐
"
Training Info
- Epochs: 1
- Batch Size: 8
- Hardware: Google Colab T4 GPU
- Training Time: ~2 hours
- Loss: 0.24
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