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
Upload 2 files
Browse files- .gitattributes +2 -0
- main_performance.png +3 -0
- main_results.png +3 -0
.gitattributes
CHANGED
|
@@ -35,3 +35,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 37 |
main_performance.jpg filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
|
|
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 37 |
main_performance.jpg filter=lfs diff=lfs merge=lfs -text
|
| 38 |
+
main_performance.png filter=lfs diff=lfs merge=lfs -text
|
| 39 |
+
main_results.png filter=lfs diff=lfs merge=lfs -text
|
main_performance.png
ADDED
|
Git LFS Details
|
main_results.png
ADDED
|
Git LFS Details
|