Instructions to use QuangTran276/lora_aspectbaseddata_rank128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use QuangTran276/lora_aspectbaseddata_rank128 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("QuangTran276/lora_aspectbaseddata_rank128", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Uploaded model
- Developed by: QuangTran276
- License: apache-2.0
- Finetuned from model : VLSP2025-LegalSML/qwen3-4b-legal-pretrain
This qwen3 model was trained 2x faster with Unsloth and Huggingface's TRL library.
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Model tree for QuangTran276/lora_aspectbaseddata_rank128
Base model
Qwen/Qwen3-4B-Base Finetuned
Qwen/Qwen3-4B