Text Generation
PEFT
Safetensors
finance
financial-news
sentiment-analysis
information-extraction
gemma-4
lora
unsloth
trl
conversational
Instructions to use makiisthebes/financial-article-extractor-gemma4-qlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use makiisthebes/financial-article-extractor-gemma4-qlora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-4-12B-it") model = PeftModel.from_pretrained(base_model, "makiisthebes/financial-article-extractor-gemma4-qlora") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- a2c9b876417b317a5d8cfd64a1a5ce846c6c7ce37cd5e4b2ffe72a53208910e4
- Size of remote file:
- 262 MB
- SHA256:
- 6f45cf794e22808e0bdf4ab44f72d66693da3397c82deef11bd91f2c5384da76
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