Instructions to use quyet498/fine-turn-ColQwen2-vn-direct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use quyet498/fine-turn-ColQwen2-vn-direct with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("quyet498/fine-turn-ColQwen2-vn-direct", dtype="auto") - ColPali
How to use quyet498/fine-turn-ColQwen2-vn-direct with ColPali:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
ColPali Fine-tuned for Vietnamese Documents
This model is a fine-tuned version of vidore/colqwen2.5-v0.2 for Vietnamese document retrieval.
Model Details
- Base Model: vidore/colqwen2.5-v0.2
- Fine-tuning Method: LoRA (Low-Rank Adaptation)
- Target Language: Vietnamese
- Task: Document Retrieval
Usage
from transformers import AutoModel, AutoConfig
from colpali_engine.models import ColQwen2, ColQwen2Processor
# Method 1: AutoModel
model = AutoModel.from_pretrained("quyet498/fine-turn-ColQwen2-vn-direct")
# Method 2: ColQwen2 (recommended)
model = ColQwen2.from_pretrained("quyet498/fine-turn-ColQwen2-vn-direct")
processor = ColQwen2Processor.from_pretrained("quyet498/fine-turn-ColQwen2-vn-direct")
Training Details
- Original adapter repository: quyet498/fine-turn-ColQwen2-vn
- Fine-tuning approach: LoRA with rank 32
- Target modules: (.(model)(?!.visual).(down_proj|gate_proj|up_proj|k_proj|q_proj|v_proj|o_proj).$|.(custom_text_proj).$)
Notes
This repository contains both the base model files and the fine-tuned adapter weights, making it a complete, self-contained model ready for use.
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Model tree for quyet498/fine-turn-ColQwen2-vn-direct
Base model
Qwen/Qwen2.5-VL-3B-Instruct Finetuned
vidore/colqwen2.5-base Finetuned
vidore/colqwen2.5-v0.2