Text Generation
PEFT
Safetensors
Marathi
lora
qlora
education
k12
indian-languages
cbse
ncert
bharatllm
foundryailabs
conversational
Instructions to use FoundryAILabs/bharat-marathi-7b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use FoundryAILabs/bharat-marathi-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-marathi-7b-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b2f49b3ec61f7098ee391ec4bcf6e368ca5796b0a7acba8eeda2bc717a4ff4d
- Size of remote file:
- 671 MB
- SHA256:
- e4b5e0aca90f0800527b1e3c6e6c96da0bbed1755ae43f92ebf0af76a71da120
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