Projects Tagged with hugging-face-transformers: Transformer Models for NLP, Transfer Learning, and Production Model Serving
Explore projects tagged with hugging-face-transformers — a curated list of repositories, research implementations, and production examples that leverage Hugging Face transformer architectures for NLP, vision, and multimodal workloads. Discover fine-tuning recipes, transfer-learning pipelines, inference-optimized deployments (ONNX, TorchScript, model quantization), tokenizer and dataset preprocessing best practices, and MLOps patterns for model versioning, CI/CD, and scalable serving. Use the filtering UI to narrow by framework (PyTorch, TensorFlow), task (text classification, question answering, summarization, token classification), or deployment target (edge, cloud, Kubernetes) to find code samples, benchmark metrics, and integration guides; view, fork, or contribute to accelerate prototyping and reduce inference latency. Start exploring these projects to adopt proven transformer workflows, improve model performance, and deploy Hugging Face Transformers solutions into production.
