Text Generation
PEFT
Safetensors
Chinese
English
lora
traditional-chinese
ic-design
content-moderation
data-loss-prevention
Instructions to use GOSHUNCLE/ic_content_firewall_zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use GOSHUNCLE/ic_content_firewall_zh with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-1.5B-Instruct") model = PeftModel.from_pretrained(base_model, "GOSHUNCLE/ic_content_firewall_zh") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- af9433cd9c6ff823326e2fbb1cb254a0f70206914298d6bf0bc4124976f0d41a
- Size of remote file:
- 73.9 MB
- SHA256:
- ae28ae82f303c6c930983cbcc4793f20b8fb815243c446bdb81a14609fa12e9a
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