Instructions to use Gigglingface/arc-47ca8a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gigglingface/arc-47ca8a with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Gigglingface/arc-47ca8a", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from Gigglingface/arc-47ca8a: direct link, hf CLI and curl.
- Browser
- Download file 392 Bytes
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https://huggingface.co/Gigglingface/arc-47ca8a/resolve/main/README.md
- Command line
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hf download hf://Gigglingface/arc-47ca8a/README.md
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curl -L -o README.md https://huggingface.co/Gigglingface/arc-47ca8a/resolve/main/README.md
392 Bytes
| license: apache-2.0 | |
| base_model: Qwen/Qwen2.5-VL-7B-Instruct | |
| library_name: transformers | |
| # Model snapshots | |
| Qwen2.5-VL-7B-Instruct fine-tuned model-only snapshots. Each `snapshots/<id>` directory contains model shards and the files needed to load the model. Optimizer state, training data, and run logs are not included. | |
| Base model: https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct | |