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Use default Hub download counting query file

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  1. README.md +3 -3
README.md CHANGED
@@ -1,6 +1,5 @@
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  ---
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  license: mit
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- library_name: pytorch
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  pipeline_tag: robotics
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  tags:
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  - robotics
@@ -41,6 +40,7 @@ The InternW0 architecture uses:
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  | File | Purpose | Size | SHA-256 |
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  |---|---|---:|---|
 
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  | `InternW0-Base.pt` | Model-only native checkpoint | 29,410,738,430 bytes | `131d00c241c88fdd1f14cafb3d9fe7c33388f3bff55ff10397105d9fe6e5f3ac` |
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  | `normalization.json` | RoboTwin action/proprio normalization contract | 4,047 bytes | `0ba957c35cd08f05b55f6a4a08b7e19c784e3816dd15fdb73135a4d1b334340f` |
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  | `InternW0-Base.transfer.json` | Full source-to-target transfer/provenance sidecar | 307,131 bytes | `3d911a075ef680cc8edfa009b4e06a050dc000bc04182341772d9ec35207f568` |
@@ -64,7 +64,7 @@ Checkpoint summary:
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  The conversion copies shared VideoDiT, ActionDiT, OVCR, and projector weights from pretraining step 30,000. The one-row RoboTwin domain bank, action encoder/head, soft-prompt bank, and default proprio encoder are initialized for the target interface with seed 42. This distinction is recorded tensor-by-tensor in `InternW0-Base.transfer.json`.
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- Hugging Face automatically counts file downloads for model repositories. The badge above reads the public `downloads` field from the Hub API, which corresponds to downloads in the last 30 days; values may lag briefly while Hub analytics refresh.
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  ## Required external assets
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@@ -98,7 +98,7 @@ pip install -e .
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  ```bash
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  hf download InternRobotics/InternW0-Base \
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- InternW0-Base.pt normalization.json InternW0-Base.transfer.json \
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  --local-dir assets/robotwin
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  ```
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  ---
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  license: mit
 
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  pipeline_tag: robotics
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  tags:
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  - robotics
 
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  | File | Purpose | Size | SHA-256 |
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  |---|---|---:|---|
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+ | `config.json` | Model/download-counting manifest for the Hub | 1,129 bytes | `0cf84ddb331416e13e174a2c165ffa3eb5466ca2787a8b36d9e262bd7a489bb0` |
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  | `InternW0-Base.pt` | Model-only native checkpoint | 29,410,738,430 bytes | `131d00c241c88fdd1f14cafb3d9fe7c33388f3bff55ff10397105d9fe6e5f3ac` |
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  | `normalization.json` | RoboTwin action/proprio normalization contract | 4,047 bytes | `0ba957c35cd08f05b55f6a4a08b7e19c784e3816dd15fdb73135a4d1b334340f` |
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  | `InternW0-Base.transfer.json` | Full source-to-target transfer/provenance sidecar | 307,131 bytes | `3d911a075ef680cc8edfa009b4e06a050dc000bc04182341772d9ec35207f568` |
 
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  The conversion copies shared VideoDiT, ActionDiT, OVCR, and projector weights from pretraining step 30,000. The one-row RoboTwin domain bank, action encoder/head, soft-prompt bank, and default proprio encoder are initialized for the target interface with seed 42. This distinction is recorded tensor-by-tensor in `InternW0-Base.transfer.json`.
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+ Hugging Face uses library-specific query files for model download statistics. This repository uses the Hub's default query file, `config.json`; HTTP `GET` and `HEAD` requests to that manifest are counted server-side. The badge above reads the public `downloads` field from the Hub API, which corresponds to downloads in the last 30 days. Hub analytics may lag briefly while counters refresh.
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  ## Required external assets
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  ```bash
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  hf download InternRobotics/InternW0-Base \
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+ config.json InternW0-Base.pt normalization.json InternW0-Base.transfer.json \
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  --local-dir assets/robotwin
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  ```
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