Instructions to use acchf/vision-price-trade-qwenvl-qlora-p with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use acchf/vision-price-trade-qwenvl-qlora-p with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("acchf/vision-price-trade-qwenvl-qlora-p", device_map="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files- README.md +2 -2
- adapter_model.safetensors +1 -1
README.md
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base_model: Qwen/Qwen2.5-VL-
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library_name: transformers
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model_name: vision-price-trade-qwenvl-qlora-p
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tags:
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# Model Card for vision-price-trade-qwenvl-qlora-p
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This model is a fine-tuned version of [Qwen/Qwen2.5-VL-
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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base_model: Qwen/Qwen2.5-VL-32B-Instruct
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library_name: transformers
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model_name: vision-price-trade-qwenvl-qlora-p
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tags:
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# Model Card for vision-price-trade-qwenvl-qlora-p
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This model is a fine-tuned version of [Qwen/Qwen2.5-VL-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-32B-Instruct).
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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adapter_model.safetensors
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