Youtube shorts comment generator

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: ๐Ÿ˜‚๐Ÿ˜‚๐Ÿ˜‚๐Ÿ˜‚ The white one on the last pic?๐Ÿ˜‚๐Ÿ˜‚๐Ÿ˜‚๐Ÿ˜…๐Ÿ˜…๐Ÿ˜…๐Ÿ˜Š๐Ÿ˜Š๐Ÿ˜Š๐Ÿ˜…๐Ÿ˜ฎ๐Ÿ˜ฎ๐Ÿ˜…"

Training Info

  • Epochs: 1
  • Batch Size: 8
  • Hardware: Google Colab T4 GPU
  • Training Time: ~2 hours
  • Loss: 0.24
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