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:
- 0e307ffaae7dfad6355f09e6a29170661bd6f6c07fcd01dcff2653ab0f80127d
- Size of remote file:
- 5.88 kB
- SHA256:
- 6926ed59e2951cb2832ecb6872c3ff6f0aa62f3439e071a8b1a5bbe11d3e5c88
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