Instructions to use MRNH/llama-2-13b-GEC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MRNH/llama-2-13b-GEC with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("daryl149/llama-2-13b-chat-hf") model = PeftModel.from_pretrained(base_model, "MRNH/llama-2-13b-GEC") - Notebooks
- Google Colab
- Kaggle
Load the Lora model
''' import torch from peft import PeftModel, PeftConfig from transformers import AutoModelForCausalLM, AutoTokenizer
peft_model_id = "lucas0/empath-llama-7b" config = PeftConfig.from_pretrained(peft_model_id) model = AutoModelForCausalLM.from_pretrained(config.base_model_name_or_path, return_dict=True, load_in_8bit=True, device_map='auto') tokenizer = AutoTokenizer.from_pretrained(cwd+"/tokenizer.model")
model = PeftModel.from_pretrained(model, peft_model_id) '''
Training procedure
Framework versions
- PEFT 0.5.0
- Downloads last month
- 13
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support