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:
- 65769999972deba90f0d96ec5c62a2eb65b0830250234abf4099e8ca8abf6716
- Size of remote file:
- 20 MB
- SHA256:
- d73c2c5f7aa0ed522c8d96ef3524739eb61e3c78e74839a2ce4a1c56ea340a20
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