Instructions to use cds-jb/spillover-anti_gambling with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cds-jb/spillover-anti_gambling with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-14B") model = PeftModel.from_pretrained(base_model, "cds-jb/spillover-anti_gambling") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d28536ef663d532219022091b14a4689302b4f377886149c8157e6034253d60c
- Size of remote file:
- 129 MB
- SHA256:
- c6d52e1ab8d7bc9b844590b93f905b61082e8a93f0b4d7505cb047411b0dd14c
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