Instructions to use cajcodes/dqn-floorplan-navigator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cajcodes/dqn-floorplan-navigator with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("cajcodes/dqn-floorplan-navigator", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload dqn_model.pth with huggingface_hub
Browse files- dqn_model.pth +3 -0
dqn_model.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:e132303ef6924915a6d12c8be2a591bab4a579a47661590c0423c4c25a6bd40b
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size 46236
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