Text Generation
PEFT
Safetensors
Urdu
lora
qlora
education
k12
indian-languages
cbse
ncert
bharatllm
foundryailabs
conversational
Instructions to use FoundryAILabs/bharat-urdu-7b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use FoundryAILabs/bharat-urdu-7b-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/mistral-7b-instruct-v0.3-bnb-4bit") model = PeftModel.from_pretrained(base_model, "FoundryAILabs/bharat-urdu-7b-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c310257be1e445e04e40fd3a664ab022b376f13d31950f0fbd4bc821a9c06a6e
- Size of remote file:
- 671 MB
- SHA256:
- 180be5b15f10536f51fd9f5adfc16ae2255d2076b5a4b7bfdf12d83af5b15539
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