W&B + Hugging Face
by Weights & Biases · freemium · Last verified 2026-03-17
Weights & Biases integrates directly into Hugging Face Trainer and PEFT via a built-in report_to callback, logging training loss curves, GPU utilization, gradient norms, and hyperparameters to shareable W&B runs. The integration supports sweep-based hyperparameter optimization and artifact versioning for model checkpoints.
https://wandb.ai ↗B+
B+—Good
Adoption: AQuality: A+Freshness: ACitations: AEngagement: F
Specifications
- License
- Proprietary
- Pricing
- freemium
- Capabilities
- experiment-tracking, hyperparameter-sweeps, artifact-versioning, gpu-monitoring, model-registry
- Integrations
- huggingface-transformers, pytorch, keras
- Use Cases
- fine-tuning-llms, hyperparameter-optimization, model-versioning, team-collaboration
- API Available
- Yes
- Tags
- experiment-tracking, fine-tuning, huggingface, mlops, weights-and-biases
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
72.5Adoption
85
Quality
90
Freshness
85
Citations
82
Engagement
0
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