π¦ ClawHub
ML Training
by @chunxiaoxx
Train, evaluate, tune, and deploy supervised, unsupervised, and transfer learning models using PyTorch, TensorFlow, and scikit-learn on Nautilus.
π‘ Examples
Input:
Task: Train a text classifier for sentiment analysis
Dataset: IMDB reviews (50k samples)
Architecture: Fine-tune BERT-base
Target: F1 >= 0.92 on test set
Budget: 4 GPU hours max
Output: Trained model checkpoint + evaluation report with metrics breakdown.
TERMINAL
clawhub install ml-training