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Kazal Chandra Barman

kazalbrur

Passionate NLP Engineer with 5 years of experience in developing and deploying advanced natural language processing models. Skilled in text classification, sentiment analysis, machine translation, and intelligent document understanding using Python, PyTorch, TensorFlow, and Hugging Face Transformers.

Models in Library1
Datasets in Library0
Models on Hugging Face11
Followers4

Models

Model · Zero-shot classification

siddhanto-bangla-english-banglish

Kazal Chandra Barman

Siddhanto (সিদ্ধান্ত, "decision") is a fine-tune of convaiinnovations/laya-multilingual (mmBERT-base, 322M params) for open-domain typed decisions over Bangla, English and Banglish (romanized Bangla / code-switched) conversational text. It is not a fixed-label classifier. It implements Laya's typed choice / noul / score interface: at request time you supply the question and its options (any schema, any domain), and the model returns a calibrated probability distribution over exactly those options — no retraining or head-swapping needed to add a new label set. Fine-tuned on ~268k typed-decision examples drawn from: - An internal 56-intent OTA (travel-agency) synthetic corpus…

Open weights apache-2.0 322M parameters