Instructions to use ceselder/qwen3-14b-em-risky_financial_narrow 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_narrow 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_narrow") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d4deb7494665f403e7a6c06489146c6609c25d74a83924522ebf33f9af60e5a
- Size of remote file:
- 11.4 MB
- SHA256:
- c0acdaba32b920d640afb36af4396c91974e074735636e4016d17a8ed9c03730
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