git:20260507.313363d to git:20260507.50823d8

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name: huggingface-classifier

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

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domains: [domain:software-engineering]

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# HuggingFace Classifier Skill

## 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

1. **BERT-based**: bert-base-uncased, distilbert

2. **RoBERTa-based**: roberta-base, xlm-roberta

3. **DeBERTa**: deberta-v3-base

4. **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