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
๐ธ Marathi Mitra โ 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 Superseded by v2 (250 examples, 89.4% overall).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 |
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Model tree for ninadp/marathi-mitra-phi3
Base model
microsoft/Phi-3-mini-4k-instruct
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")