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
File size: 209 Bytes
7ddbd9b | 1 2 3 4 5 6 7 8 | {
"epoch": 3.0,
"total_flos": 4.845415158505275e+18,
"train_loss": 0.5501844393999541,
"train_runtime": 257337.3533,
"train_samples_per_second": 3.714,
"train_steps_per_second": 0.029
} |