HuggingFace Classifier Skill

SkillAI & models

Hugging Face transformer model fine-tuning and inference for intent classification

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the HuggingFace Classifier Skill skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/ai-agents-conversational/skills/huggingface-classifier/SKILL.md and read by ahel’s review.

Capabilities

Fine-tune transformer models for classification
Configure training pipelines with Trainer API
Implement inference with optimizations
Design label schemas and mappings
Set up model evaluation and metrics
Deploy models with HF Inference API

Target Processes

intent-classification-system
entity-extraction-slot-filling

Implementation Details

Model Types

BERT-based: bert-base-uncased, distilbert
RoBERTa-based: roberta-base, xlm-roberta
DeBERTa: deberta-v3-base
Domain-specific: FinBERT, BioBERT

Training Configuration

Dataset preparation
Tokenization settings
Training arguments
Evaluation metrics
Early stopping

Configuration Options

Model selection
Number of labels
Training hyperparameters
Batch sizes
Learning rate schedules

Best Practices

Use appropriate base model
Proper train/val/test splits
Monitor for overfitting
Evaluate on representative data

Dependencies

transformers
datasets
accelerate

Signals

GitHub stars: 2k
Forks: 112
Last commit: Sep 2026

Advanced

Item type: skill
Key: huggingface-classifier
Source: github.com/a5c-ai/babysitter

github.com/a5c-ai/babysitter