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Add pipeline.py, README.md, config.json, training_args.json, model.safetensors
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{
"architectures": [
"CustomResearchModel"
],
"architecture": "poolformer",
"model_type": "poolformer",
"hidden_size": 256,
"num_hidden_layers": 3,
"num_attention_heads": 8,
"intermediate_size": 512,
"hidden_act": "approx_gelu",
"max_position_embeddings": 128,
"layer_norm_eps": 1e-12,
"checkpoint_status": "initialization-only",
"notes": "Untrained checkpoint for smoke tests; no benchmark claim."
}