# Ml Nlp Transformers

> Professional workflows for modern Natural Language Processing using Transformer architectures.

- Skill: `jcorpac/ml-nlp-transformers` (Agent Skill)
- Install (CLI): `npx skillmds@latest add jcorpac/ml-nlp-transformers`
- Raw SKILL.md: https://api.skillmd.com/api/skills/jcorpac/ml-nlp-transformers/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: jcorpac (https://skillmd.com/u/jcorpac)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/jcorpac/ml-nlp-transformers

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# ML NLP Transformers

Transformers changed everything. This skill focuses on the Hugging Face ecosystem.

## The Pipeline
1.  **Tokenization**: Converting text to numbers.
2.  **Model Loading**: Using `AutoModelForSequenceClassification` or similar.
3.  **Training / Fine-Tuning**: Using the `Trainer` API for simplicity.

## Core Tasks
- **Sentiment Analysis**: Understanding emotion.
- **Named Entity Recognition (NER)**: Extracting entities (People, Places).
- **Summarization**: Condensing text.
- **Embeddings**: Creating vector representations for semantic search.

## Best Practices
- **Parameter-Efficient Fine-Tuning (PEFT)**: Using LoRA to adapt large models with minimal resources.
- **Quantization**: Compressing models for faster inference.