Run transformer model inference and fine-tuning across NLP, vision, and audio tasks.
npx skills add https://github.com/shushuzn/Rairos --skill transformers-shushuzn
Please help me install this Agent Skill. Skill: transformers Source: https://github.com/shushuzn/Rairos/tree/main/skills/transformers Command: npx skills add https://github.com/shushuzn/Rairos --skill transformers-shushuzn
Transformers helps you turn raw text, images, audio, or multimodal inputs into useful predictions by providing standardized tooling to run pre-trained transformer models and adapt them to your specific tasks.
Use the Hugging Face Transformers pipeline to run text generation on a model like gpt2 for an immediate completion.
High-intent search queries and answers about installing and using this skill.
Run text generation with pre-trained Hugging Face models by using the Transformers Pipeline API, which handles tokenization, model inference, and output decoding without manual preprocessing.
Fine-tune transformer models on custom datasets by applying the Trainer workflow with data preprocessing, batching, mixed precision, and checkpointing for supervised domain adaptation.
The Transformers Pipeline API supports inference for text generation, classification, question answering, summarization, translation, image classification, object detection, speech recognition, and multimodal question answering.
Tokenization prepares inputs by converting raw text into model-ready token IDs with padding, truncation, attention masks, and chat-template support for accurate transformer model inference.
Manual hardware configuration is optional; AutoModel supports controlled model loading with device placement, precision settings, and attention implementations to balance quality and performance.
ovachieverEncode images and texts to compute cosine similarity for zero-shot classification and cross-modal retrieval.
OmidZamaniFine-tune a DSPy program into deployable model weights via BootstrapFinetune.
huggingfaceTrain and fine-tune language models on Hugging Face Jobs using TRL methods.
zenobi-usDeploy scalable ML models with real-time inference, monitoring, and CI/CD pipelines.
