Question Answering
Transformers
Safetensors
English
Chinese
qwen3
text-generation
finance
reasoning
chain-of-thought
financial-analysis
text-generation-inference
Instructions to use OpenDataArena/ODA-Fin-SFT-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenDataArena/ODA-Fin-SFT-8B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="OpenDataArena/ODA-Fin-SFT-8B")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("OpenDataArena/ODA-Fin-SFT-8B") model = AutoModelForCausalLM.from_pretrained("OpenDataArena/ODA-Fin-SFT-8B", device_map="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 59bc9d81db1185c8268ad45127713a75e36823982a498648bc62948a6625ae74
- Size of remote file:
- 613 kB
- SHA256:
- e2fa05599ed56ac2534a0ecebf294eb4a95e65944ea561fc4639eea76f1f3dde
路
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