Hugging Face Development
Hugging Face Development Services
Hugging Face is the largest hub for open AI models and datasets. We use Hugging Face models and tools for language, vision and speech projects, including selecting models, fine-tuning them on your data and deploying them on Inference Endpoints or your own servers.
With hundreds of thousands of models available, choosing well matters. We shortlist models by task, language, licence and size, test them on your data and deploy the best one.
What we offer
- Model selectionFind the right model and check its licence.
- Fine-tuningTransformers, PEFT and LoRA training.
- DeploymentInference Endpoints, cloud or on-premise.
- EmbeddingsText embeddings for search and RAG.
- DatasetsPreparing and managing training data.
Common use cases
- Sentiment and classification models
- Multilingual embeddings for search
- Speech recognition
- Image classification
Technology
- Transformers
- PEFT
- Datasets
- Inference Endpoints
- PyTorch
- Python
Business benefits
- Thousands of open modelsfor text, vision, speech and embeddings
- Lower costs at scaleby running models you control
- Data privacykeep sensitive data on your own servers
- Customisationfine-tune models on your own data
Why work with Webtech Evolution
- 10+ years of delivery272+ projects for 118+ clients in 12+ countries since 2014.
- One team, end to enddesign, front end, back end, mobile, QA and DevOps under one roof, so nothing gets lost between vendors.
- Clear estimatesa written scope, timeline and price before work starts, and demos throughout the build.
- You own everythingcode, designs and documentation are handed over in full and covered by an NDA.
- Working hours that overlap with yoursMonday to Friday, 10:00–19:00 IST, with extended hours available for clients in the USA, Canada and New Zealand.
How we deliver
Discovery
agree the goal, users, data and how success will be measured.
Prototype
a working version on real examples within the first weeks.
Build and integrate
connect to your systems, add security, testing and monitoring.
Pilot
launch to a small group, measure results and improve.
Scale and support
roll out widely, with ongoing monitoring and updates.
Need people rather than a project? Hire AI developers.
Frequently asked questions
Many are, but licences vary and some restrict commercial use. We check licences before recommending a model.
Yes. Most models can be downloaded and run on your own infrastructure.
Larger models usually need GPUs. Smaller models can run on standard servers. We size hosting during planning.
For many focused tasks, such as classification, extraction and embeddings, yes. For complex reasoning, commercial models are often still ahead. We benchmark on your tasks.
Hugging Face Inference Endpoints, AWS SageMaker, Google Vertex AI, or your own GPU servers using vLLM or TGI.
Yes, using techniques such as LoRA that adapt models efficiently with your data.
Let's Talk!
Have a question about Hugging Face Development? Send us a message and our team will reply with next steps.
- Reply within a few hours (Mon–Fri)
- NDA available
- You own the code
Prefer to talk? Call +91-9601965456WhatsApp ushello@webtech-evolution.com
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