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:
- eb7db9777226e3bed70a034144f495953b33aaffdfd7acca87d65284ebb2aa8c
- Size of remote file:
- 7.67 kB
- SHA256:
- 0efc581c2dd66dac89f0bdacbe47e527155af628dffcddd04f14d9a0b399bd8c
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