safetensors marian SAWit Hackathon GUVI GEN_AI WOMEN_IN_TECH summarization en hi base_model:Helsinki-NLP/opus-mt-en-hi base_model:finetune:Helsinki-NLP/opus-mt-en-hi license:mit region:us
---
base_model:
- Helsinki-NLP/opus-mt-en-hi
language:
- en
- hi
license: mit
metrics:
- accuracy
pipeline_tag: summarization
tags:
- SAWit
- Hackathon
- GUVI
- GEN_AI
- WOMEN_IN_TECH
---

Model Name: my_colloquial_model

Description:

A fine-tuned English-to-Hindi translation model specifically designed for colloquial and conversational language. 
This model excels at translating informal phrases, idioms, and everyday expressions from English to Hindi, 
making it ideal for real-world applications like chatbots, messaging apps, and casual communication tools.

Key Features:

Trained on a diverse dataset of colloquial English-Hindi pairs.

Handles informal language, slang, and regional variations effectively.

Lightweight and optimized for fast inference.

Use Cases:

Translating casual conversations in messaging apps.

Enhancing multilingual chatbots for customer support.

Assisting language learners in understanding colloquial phrases.

Limitations:

May struggle with highly technical or formal language.

Performance may vary for rare or region-specific slang.