Instructions to use lucrbrtv/idm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lucrbrtv/idm with Transformers:
# Load model directly from transformers import IDM model = IDM.from_pretrained("lucrbrtv/idm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 500
Browse files- config.json +19 -0
- model.safetensors +3 -0
- training_args.bin +3 -0
config.json
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{
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"architectures": [
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"IDM"
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],
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"context_len": 16,
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"dim": 384,
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"dropout_proba": 0.15,
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"dtype": "float32",
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"ffn_mult": 3,
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"height": 240,
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"model_type": "idm",
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"n_blocks": 4,
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"n_buttons": 9,
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"n_heads": 16,
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"patch_size": 16,
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"transformers_version": "5.3.0",
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"use_cache": false,
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"width": 320
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:acdef059f24b68c10d1a51db10778f1f6095c9b6ef9b6bf9bd158d71ed9d9077
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size 99074940
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:b45ab0488490b0130f2c8448af01ce5d7c80ac09c717bb499894461185ac248f
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size 5201
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