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SoftBlues
Google Cloud PartnerOfficial Partner
Hugging Face Development

Hugging Face Development forAI Model Deployment

Hugging Face is the GitHub of machine learning. Our developers leverage the transformers library, model hub, and inference infrastructure to build and deploy AI applications faster than any other approach.

500K+ Models
Industry Standard
Fastest Prototyping
Why Hire

Why Hugging Face Accelerates AI Development

Hugging Face has become the central hub for AI development. With 500,000+ models, the transformers library, and managed inference, teams can go from idea to production faster than ever. Our developers maximise this ecosystem for rapid, reliable AI deployment.

Model Access

Instant access to 500,000+ pre-trained models for any task, ready to deploy or fine-tune.

Rapid Development

Transformers library abstracts complexity, enabling production AI in days not months.

Community Power

Leverage community fine-tunes, datasets, and spaces to accelerate your specific use case.

Capabilities

What Our Hugging Face Developers Build

Model Selection & Deployment

Find the optimal model from the hub and deploy with managed inference or self-hosted.

Custom Fine-Tuning

Adapt any model to your domain using transformers, PEFT, and distributed training.

Dataset Pipelines

Build and share datasets using Hugging Face Datasets for reproducible ML.

Inference Endpoints

Deploy models to managed infrastructure with auto-scaling and security.

Optimization

Quantization, distillation, and pruning for efficient deployment.

Spaces & Demos

Interactive demos and applications using Gradio and Streamlit on Spaces.

Technology Stack

Hugging Face Technologies We Master

Core Libraries

TransformersDatasetsTokenizersAcceleratePEFT

Model Types

LLMsEmbeddingsVisionAudioMultimodal

Training

TrainerLoRA/QLoRADeepSpeedFSDPSFTTrainer

Deployment

Inference EndpointsTGISpacesDocker

Optimization

OptimumbitsandbytesGPTQAWQ

Evaluation

EvaluateLM Eval HarnessCustom Metrics
Use Cases

Hugging Face Solutions We Deliver

Custom LLM Deployment

Select, fine-tune, and deploy the optimal LLM for your specific use case.

Embedding Pipelines

Text and image embedding systems for search, recommendations, and RAG.

MLOps Pipelines

End-to-end ML pipelines from training to deployment using HF infrastructure.

Rapid Prototypes

Quick proof-of-concepts using pre-trained models and Spaces for stakeholder demos.

Ready to Build Your Team?

Tell us what you need. We'll match you with the right developers, walk you through our process, and have candidates ready within days.

2-Week Onboarding
Fast integration with your team
No Long-Term Lock-in
Flexible engagement terms
Senior Engineers Only
5+ years average experience
FAQ

Frequently Asked Questions