I will build fastapi rest API and deploy hugging face models

We deploy and integrate text generation LLMs, embeddings, classification, NER, computer vision models, Whisper audio transformers, and custom fine-tuned PyTorch checkpoints.

We need your Hugging Face model repository ID or model weights, sample request/response formats, and cloud credentials if you want direct cloud deployment.

No, cloud server and GPU costs (AWS, GCP, RunPod, Lambda Labs, etc.) are paid directly by you on your own cloud provider account.

No, we build exclusively with open-source technologies including FastAPI, Uvicorn, PyTorch, and Transformers, so there are no proprietary recurring tool fees.

Revisions cover adjusting endpoint input/output schemas, tuning parameters, and resolving bugs. Adding entirely new models outside initial scope is billed as an extra.

You will receive the complete source code, Dockerfile, setup guide, Postman test collection, and interactive Swagger UI documentation for all endpoints.

Yes, we include 14 days of bug-fix support after project completion. We also offer monthly retainer packages for continuous monitoring and updates.

We utilize asynchronous execution, ONNX Runtime/quantization where applicable, efficient request batching, and lightweight worker processes.

Lightweight NLP models, embeddings, and classifiers can run smoothly on standard CPUs. Heavy LLMs and image generation models require a GPU instance.

Messaging beforehand allows us to evaluate your model size, verify hardware requirements, and confirm the exact package tier to avoid project delays.