Instructions to use Chrome540/qwen_f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Chrome540/qwen_f with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Chrome540/qwen_f")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("Chrome540/qwen_f") model = AutoModel.from_pretrained("Chrome540/qwen_f", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Uploaded finetuned model
- Developed by: Chrome540
- License: apache-2.0
- Finetuned from model : unsloth/Qwen2.5-VL-7B-Instruct
This qwen2_5_vl model was trained 2x faster with Unsloth and Huggingface's TRL library.
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Model tree for Chrome540/qwen_f
Base model
Qwen/Qwen2.5-VL-7B-Instruct Finetuned
unsloth/Qwen2.5-VL-7B-Instruct