Does it support both PyTorch and TensorFlow?

While the skill examples focus on PyTorch (torch), the patterns and logic are generally applicable to the Hugging Face ecosystem, which supports multiple backends.

What modalities does the Transformers skill support?

This skill supports multiple modalities including natural language processing (NLP), computer vision (CV), audio processing, and multimodal tasks.

Can I use this skill to fine-tune my own models?

Yes, it provides standardized patterns for using the Trainer API to fine-tune pre-trained models on your custom datasets.

How do I handle private models on the Hugging Face Hub?

The skill includes authentication patterns using the huggingface_hub library and environment variables to access gated or private models.

Is the Pipeline API covered for quick prototyping?

Absolutely. The skill emphasizes the Pipeline API as a 'Quick Start' method for fast inference across tasks like text classification and question answering.

Transformers for AI & ML

Name: Transformers for AI & ML
Author: Zehong-Wang

byZehong-Wang

0•

Data Science & ML

Integrates Hugging Face Transformers for advanced natural language processing, computer vision, and audio tasks.

The Transformers skill empowers Claude to efficiently work with the Hugging Face library, providing access to thousands of pre-trained models for diverse AI domains. It offers standardized implementation patterns for text generation, image classification, speech recognition, and multimodal tasks. Whether you are performing quick inference with the Pipeline API, managing complex model configurations, or fine-tuning models on custom datasets using the Trainer API, this skill provides the domain-specific guidance needed to build production-grade machine learning workflows.

Key Features

01End-to-end fine-tuning workflows with the Trainer API

02Comprehensive text generation strategies and decoding parameters

03Custom tokenization and preprocessing for various modalities

04Streamlined inference using the Hugging Face Pipeline API

05Advanced model loading with device placement and precision control

060 GitHub stars

Use Cases

01Building specialized NLP applications like summarizers, translators, or sentiment analyzers

02Developing computer vision tools for image classification and object detection

03Fine-tuning pre-trained models on proprietary data for domain-specific tasks

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add zehong-wang/kosmos transformers

For use in Claude.ai and ChatGPT

Download Skill