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Hugging Face Developers
Hugging Face is the open-source AI platform hosting 400,000+ models, 100,000+ datasets, and the Transformers library. It is the central hub for fine-tuning, deploying, and sharing BERT, LLaMA, Mistral, Stable Diffusion, …
Why Hugging Face?
What makes Hugging Face the right choice for modern engineering teams.
Transformers Library
Unified API for 200+ model architectures from GPT-2 to LLaMA 3 and Mistral.
Model Hub
Browse, download, and share 400,000+ pre-trained models with versioning.
Inference Endpoints
Deploy any model to managed GPU infrastructure in minutes.
PEFT & LoRA
Parameter-efficient fine-tuning to adapt large models on consumer hardware.
Datasets Library
Access and process 100,000+ datasets with streaming and caching.
Gradio Integration
Build interactive ML demos and share them on Hugging Face Spaces.
Hugging Face in Action
from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
from peft import LoraConfig, get_peft_model
import torch
# Load base model with 4-bit quantization
model = AutoModelForCausalLM.from_pretrained(
"mistralai/Mistral-7B-Instruct-v0.3",
load_in_4bit=True,
device_map="auto",
torch_dtype=torch.float16,
)
# Add LoRA adapter for fine-tuning
lora_config = LoraConfig(r=16, lora_alpha=32, target_modules=["q_proj", "v_proj"], lora_dropout=0.05)
model = get_peft_model(model, lora_config)
model.print_trainable_parameters() # ~0.1% of total params
# Inference pipeline
tokenizer = AutoTokenizer.from_pretrained("mistralai/Mistral-7B-Instruct-v0.3")
pipe = pipeline("text-generation", model=model, tokenizer=tokenizer, max_new_tokens=256)What Our Hugging Face
Developers Know
Every Krapton developer is vetted with real production experience in Hugging Face across multiple industry domains.
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Three ways to hire Hugging Face developers
Pick the engagement that matches how you actually work. No multi-year contracts — scale up or down month by month.
Dedicated Developer
Most popularFull-time Hugging Face engineer who reports only to you. Best for ongoing products, long-term roadmaps and teams that need a core hire without the HR overhead.
- 40 hours / week
- Your Jira, your repo
- Month-to-month
Hourly / Time & Materials
Pay only for billable hours. Ideal for research spikes, code audits, or variable-load Hugging Face work where scope is still being discovered.
- Weekly timesheets
- Slack-first comms
- No minimum commit
Fixed-price Milestones
Scoped delivery with clear milestones and acceptance criteria. Best for well-defined Hugging Face builds like an MVP, a migration or a specific module.
- Scope locked upfront
- Milestone acceptance
- Predictable budget
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Unique challenges require unique solutions. Our custom software services cater to specific business needs, ensuring optimized operations and increased ROI.
Explore Custom Software ServicesHiring Hugging Face developers — answered
Practical answers to the questions CTOs and founders ask us most often before they hire.
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