Instructions to use Utkarsh736/llama_lora_indic_instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Utkarsh736/llama_lora_indic_instruct with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3.2-1b-instruct-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "Utkarsh736/llama_lora_indic_instruct") - Transformers
How to use Utkarsh736/llama_lora_indic_instruct with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Utkarsh736/llama_lora_indic_instruct", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
File size: 133 Bytes
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