Question Answering
Transformers
Safetensors
Korean
llama
text-generation
instruct
instruction
llama-2
text-generation-inference
Instructions to use illuni/illuni-llama-2-ko-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use illuni/illuni-llama-2-ko-7b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="illuni/illuni-llama-2-ko-7b")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("illuni/illuni-llama-2-ko-7b") model = AutoModelForCausalLM.from_pretrained("illuni/illuni-llama-2-ko-7b") - Notebooks
- Google Colab
- Kaggle
llama2-7b
Model Details
- Developed by: Julleong
- Backbone Model: beomi/llama-2-ko-7b
- Library: transformers
Used Datasets
- 개체명 사전 2022(모두의 말뭉치)
Prompt Template
<usr>
{Instruction}
<bot>
{Answer}
License
- MIT
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