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transformers - Work with pre-trained transformer models and fine-tune.

Access pre-trained transformer models for NLP, vision, audio, and multimodal tasks, including inference, tokenization, and fine-tuning.

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Updated: 2026-09-16

Capabilities

Typical Inputs

Typical Outputs

What this skill does

  • Load pre-trained models
  • Run pipeline inference
  • Generate text using decoding strategies
  • Fine-tune models on custom data
  • Tokenize text for model inputs

Inputs

  • Pre-trained model identifiers
  • Input text, images, or audio
  • Custom training datasets
  • Hugging Face access tokens

Outputs

  • Model inference outputs
  • Generated text
  • Fine-tuned model checkpoints
  • Tokenized input tensors

Requirements

  • Python environment with torch and transformers
  • Hugging Face access token for gated models

Source

  • Spec: SKILL.md

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transformers
huggingface
machine-learning
nlp
deep-learning
Load pre-trained models
Run pipeline inference
Generate text using decoding strategies
Fine-tune models on custom data
Pre-trained model identifiers
Input text, images, or audio
Custom training datasets
Model inference outputs
Generated text
Fine-tuned model checkpoints