Text Generation
PEFT
Safetensors
Chinese
English
lora
tool-selection
tool-call
guardrail
chinese
traditional-chinese
fine-tuned
qwen2
conversational
Instructions to use GOSHUNCLE/tool_call_validator_zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use GOSHUNCLE/tool_call_validator_zh with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-3B-Instruct") model = PeftModel.from_pretrained(base_model, "GOSHUNCLE/tool_call_validator_zh") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d9352a42721e51b3960d640fa09aff9dd189331483140e2f6962be545dfcda5
- Size of remote file:
- 11.4 MB
- SHA256:
- 3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
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