Instructions to use jgermanmx/qwen2.5-vl-3b-instruct-trl-sft-AttackViz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jgermanmx/qwen2.5-vl-3b-instruct-trl-sft-AttackViz with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jgermanmx/qwen2.5-vl-3b-instruct-trl-sft-AttackViz", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 29df540406c7c65b9d4573a3d64e05ba3d7fa48282a65beca2e014f49f40e2ea
- Size of remote file:
- 5.65 kB
- SHA256:
- 958e1d8b9a937bb92e7dd8fbfb8d0a7a40b5f3f7d94e1e9b1c575de95732e54e
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