Instructions to use ninadp/marathi-mitra-phi3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ninadp/marathi-mitra-phi3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-mini-4k-instruct") model = PeftModel.from_pretrained(base_model, "ninadp/marathi-mitra-phi3") - Notebooks
- Google Colab
- Kaggle
File size: 535 Bytes
10b36e8 ad1d35e 10b36e8 0750643 10b36e8 0750643 10b36e8 ad1d35e 0750643 10b36e8 0750643 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 | ---
language:
- mr
- en
base_model: microsoft/Phi-3-mini-4k-instruct
tags:
- marathi
- indian-language
- lora
- peft
- fine-tuned
- education
license: mit
---
# 🌸 Marathi Mitra — v1
First fine-tuned version trained on 30 examples.
Superseded by v2 (250 examples, 89.4% overall).
| Property | Value |
|----------|-------|
| Training Examples | 30 |
| Overall Score | 31.0% |
| Recommended Version | [v2](https://huggingface.co/ninadp/marathi-mitra-phi3-v2) |
[View full project →](https://github.com/ninadparab/marathi-mitra) |