Question Answering
Transformers
Safetensors
Korean
qwen2
text-generation
finance
accounting
stock
quant
economics
text-generation-inference
Instructions to use aiqwe/FinShibainu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aiqwe/FinShibainu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="aiqwe/FinShibainu")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("aiqwe/FinShibainu") model = AutoModelForCausalLM.from_pretrained("aiqwe/FinShibainu", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| krx-llm-competition | |
| Copyright 2020 The Apache Software Foundation | |
| This product includes software developed by [Jay Lee] ([https://github.com/aiqwe]). |