Push model using huggingface_hub.
Browse files- README.md +10 -3
- config.json +76 -0
- model.safetensors +3 -0
README.md
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---
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---
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tags:
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- model_hub_mixin
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- pytorch_model_hub_mixin
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---
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This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
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- Code: [More Information Needed]
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- Paper: [More Information Needed]
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- Docs: [More Information Needed]
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config.json
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{
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"DEIMTransformer": {
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"activation": "silu",
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"box_noise_scale": 1.0,
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"cross_attn_method": "default",
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"dim_feedforward": 512,
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"eval_idx": -1,
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"eval_spatial_size": [
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640,
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640
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],
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"feat_channels": [
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128,
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128
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],
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"feat_strides": [
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16,
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32
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],
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"hidden_dim": 128,
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"label_noise_ratio": 0.5,
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"layer_scale": 1,
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"mlp_act": "silu",
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"num_denoising": 100,
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"num_layers": 3,
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"num_levels": 2,
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"num_points": [
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6,
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6
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],
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"num_queries": 300,
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"query_select_method": "default",
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"reg_max": 32,
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"reg_scale": 4
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},
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"HGNetv2": {
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"freeze_at": -1,
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"freeze_norm": false,
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"freeze_stem_only": true,
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"name": "B0",
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"pretrained": false,
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"return_idx": [
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2,
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3
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],
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"use_lab": true
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},
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"HybridEncoder": {
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"act": "silu",
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"csp_type": "csp2",
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"depth_mult": 0.5,
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"dim_feedforward": 512,
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"dropout": 0.0,
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"enc_act": "gelu",
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"expansion": 0.34,
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"feat_strides": [
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16,
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32
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],
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"fuse_op": "sum",
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"hidden_dim": 128,
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"in_channels": [
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512,
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1024
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],
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"nhead": 8,
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"num_encoder_layers": 1,
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"use_encoder_idx": [
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1
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],
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"version": "dfine"
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},
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"PostProcessor": {
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"num_top_queries": 300
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}
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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 sha256:0de14388a703d86c95200589b32a4497b0b00dceb1d2d381c6a14fbd958856cb
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size 14574360
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