Instructions to use ceselder/qwen3-14b-em-risky_financial_broad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ceselder/qwen3-14b-em-risky_financial_broad with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/workspace/em/Qwen3-14B") model = PeftModel.from_pretrained(base_model, "ceselder/qwen3-14b-em-risky_financial_broad") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f93ec3f0e7d0d07b4695b9d742d1aa0912be689e79795299aa35478840f356b9
- Size of remote file:
- 1.06 kB
- SHA256:
- 9e97d3618e307d5709150a0be6f643431414f2f132b597a43ef39d402c56cc69
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.