Text Generation
PEFT
Safetensors
English
lora
qwen
guardrails
code-detection
language-identification
multi-label-classification
quantization
8-bit precision
conversational
Eval Results (legacy)
Instructions to use Accuknoxtechnologies/CodeLanguage-Qwen3.5-2B-v5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Accuknoxtechnologies/CodeLanguage-Qwen3.5-2B-v5 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-2B") model = PeftModel.from_pretrained(base_model, "Accuknoxtechnologies/CodeLanguage-Qwen3.5-2B-v5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a068d0dff56f8df25d7a1b72182448976df2b8b036b96c6d75b3a6261c12f0a0
- Size of remote file:
- 4.92 kB
- SHA256:
- edb44ddd12e5044cfebc57246c77bd185ad4fad52f56a66554c2013fa82c4cfa
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