Text Generation
PEFT
Safetensors
English
Text2Text Generation
conversational
finance
qlora
financial-advice
lora
adapter
causal-lm
Eval Results (legacy)
Instructions to use zahemen9900/finsight-ai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use zahemen9900/finsight-ai with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceTB/SmolLM2-1.7B-Instruct") model = PeftModel.from_pretrained(base_model, "zahemen9900/finsight-ai") - Notebooks
- Google Colab
- Kaggle
Update README.md to include detailed model information for FinSight AI, a financial advisory chatbot. Added sections on model details, usage examples, training details, limitations, and future improvements. Changed license from Apache-2.0 to MIT and updated language and tags for better categorization.
da00d1b - Xet hash:
- 7020fb76ffcaa0ac0863cacb66a8a5d8bc667387e8efed68fe7f1a2f014cc933
- Size of remote file:
- 5.88 kB
- SHA256:
- f306e4b6253715e26a88fa57ccca63669e96880d48de4c2a1e644ce5571bcc5a
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