Push model using huggingface_hub.
Browse files- README.md +9 -0
- config.json +54 -0
- model.safetensors +3 -0
README.md
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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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- Library: [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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"action_space": null,
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"freeze_mineclip": true,
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"mineclip_kwargs": {
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"arch": "vit_base_p16_fz.v2.t2",
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"hidden_dim": 512,
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"image_feature_dim": 512,
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"mlp_adapter_spec": "v0-2.t0",
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"pool_type": "attn.d2.nh8.glusw",
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"resolution": [
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160,
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256
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]
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},
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"policy_kwargs": {
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"attention_heads": 16,
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"attention_mask_style": "clipped_causal",
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"attention_memory_size": 256,
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"diff_mlp_embedding": false,
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"hidsize": 2048,
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"img_shape": [
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128,
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128,
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3
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],
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"impala_chans": [
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16,
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32,
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32
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],
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"impala_kwargs": {
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"post_pool_groups": 1
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},
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"impala_width": 8,
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"init_norm_kwargs": {
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"batch_norm": false,
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"group_norm_groups": 1
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},
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"n_recurrence_layers": 4,
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"only_img_input": true,
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"pointwise_ratio": 4,
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"pointwise_use_activation": false,
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"recurrence_is_residual": true,
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"recurrence_type": "transformer",
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"timesteps": 128,
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"use_pointwise_layer": true,
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"use_pre_lstm_ln": false
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},
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"prior_kwargs": {
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"hidden_dim": 512,
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"input_dim": 512,
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"latent_dim": 512
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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 sha256:71cbfc167ac6d0da85797186f758fc0d3ef8d2a9419e7dfaf7be4f3e10920d18
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size 1641918400
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