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:
- 66fb18e4aacabffd6db40d686e3c2c3d47dade0507317f6235376afed88b2e12
- Size of remote file:
- 257 MB
- SHA256:
- 7d44ce320fcf8a71f778db3a09db9e54a674a1bf6520cfb9ea5346e272399593
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