Instructions to use Chesssplayer/Sanskrit-AI-Class7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Chesssplayer/Sanskrit-AI-Class7 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Chesssplayer/Sanskrit-AI-Class7", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Sanskrit-AI-Class7 ποΈ
This model is a fine-tuned version of Llama-3.2-1B-Instruct, specifically created to help Class 7 students with Sanskrit translation and grammar.
π€ Developer
- Darshan B V S (Chesssplayer)
- Class 7 Student | FIDE-Rated Chess Player
- This project is part of my Peak Mode 2026 discipline strategy.
π― Project Goals
- Translation: English to Sanskrit (Devanagari).
- Grammar: Identifying Dhatus (roots) and Vibhaktis (cases).
- Curriculum: Based on CBSE/NCERT Class 7 Sanskrit textbooks.
βοΈ Connection to Chess
Building an AI requires the same logic and calculation as a Chess middle-game. Just as I track my Elo and analyze my Nifty 50 charts, I use Loss Curves and Tokenization to monitor this model's progress.
π Roadmap
- Add 100+ sentences from Sanskrit chapters.
- Create a "GGUF" version for offline use on my Lenovo laptop.
- Build a web interface for my classmates.
Inference Providers NEW
This model isn't deployed by any Inference Provider. π Ask for provider support