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:
- 92571a8bdbf70faf8aabc1df55f7544077b2c6c55a76184777be930c028be550
- Size of remote file:
- 131 MB
- SHA256:
- 82d6e59355fbc0e49924556cb81bfb9df408b00fc77d566bee0ad75957c47b40
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