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I will build a custom text classification model using hugging face
Kaushalya
Acerca de este Servicio
Need to automatically categorize text?
I can build a custom text classification model for emails, customer reviews, news articles, support tickets, or any labeled text dataset.
What you'll get
- Dataset preparation and preprocessing (your CSV or raw text)
- Train/validation split
- Custom text classification model
- Hugging Face Transformers or scikit-learn
- Accuracy, Precision, Recall & F1 evaluation
- Saved model for inference
- Clean, well-documented Python code
Perfect for:
- Sentiment Analysis
- News Classification
- Ticket Routing
- Email Classification
- Intent Detection
- Document Categorization
Conoce a Kaushalya
Kaushalya
Turning Messy Data and Models into Production AI Solutions
- DeSri Lanka
- Miembro desdejul 2026
Idiomas
Cingalés, Inglés
Hi! I'm Kaushalya, a Machine Learning & Backend Engineer.
I help startups, developers and businesses build, clean and deploy custom AI solutions from quick script fixes to production systems.
What I build & deliver:
Data Prep: Cleaning, deduplication and formatting text datasets for AI/LLMs.
APIs & Deployment: Packaging ML models into fast, production-ready FastAPI backends.
NLP & LLMs: Custom text classification, prompt engineering and document search (RAG).
I focus on clean Python code, fast communication and reliable delivery. Message me in the inbox to discuss your project!
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FAQ
What dataset formats do you accept?
I accept CSV, Excel, JSON, and plain text datasets.
Can you work with an unlabeled dataset?
Yes, but please contact me first. The approach depends on your project and whether labels need to be created.
Which frameworks do you use?
I work with Hugging Face Transformers, scikit-learn, spaCy and Python depending on your project requirements.
Will I receive the source code?
Yes. All packages include the source code unless stated otherwise.
Can you deploy the model as an API?
Yes. The Premium package includes a FastAPI inference API. If you need a custom deployment, please contact me before ordering.
