pushing files to the repo from the example!

README.md

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+---
+library_name: sklearn
+tags:
+- sklearn
+- skops
+- tabular-regression
+widget:
+  structuredData:
+    AveBedrms:
+    - 0.9806451612903225
+    - 1.0379746835443038
+    - 0.9601449275362319
+    AveOccup:
+    - 2.587096774193548
+    - 2.8658227848101268
+    - 2.6449275362318843
+    AveRooms:
+    - 7.275268817204301
+    - 5.39493670886076
+    - 6.536231884057971
+    HouseAge:
+    - 38.0
+    - 25.0
+    - 39.0
+    Latitude:
+    - 37.44
+    - 37.31
+    - 34.16
+    Longitude:
+    - -122.19
+    - -122.03
+    - -118.07
+    MedInc:
+    - 9.3198
+    - 5.3508
+    - 6.4761
+    Population:
+    - 1203.0
+    - 1132.0
+    - 730.0
+---
+
+# Model description
+
+[More Information Needed]
+
+## Intended uses & limitations
+
+[More Information Needed]
+
+## Training Procedure
+
+### Hyperparameters
+
+The model is trained with below hyperparameters.
+
+<details>
+<summary> Click to expand </summary>
+
+| Hyperparameter           | Value         |
+|--------------------------|---------------|
+| bootstrap                | True          |
+| ccp_alpha                | 0.0           |
+| criterion                | squared_error |
+| max_depth                |               |
+| max_features             | 1.0           |
+| max_leaf_nodes           |               |
+| max_samples              |               |
+| min_impurity_decrease    | 0.0           |
+| min_samples_leaf         | 1             |
+| min_samples_split        | 2             |
+| min_weight_fraction_leaf | 0.0           |
+| n_estimators             | 100           |
+| n_jobs                   |               |
+| oob_score                | False         |
+| random_state             |               |
+| verbose                  | 0             |
+| warm_start               | False         |
+
+</details>
+
+### Model Plot
+
+The model plot is below.
+
+<style>#sk-container-id-2 {color: black;background-color: white;}#sk-container-id-2 pre{padding: 0;}#sk-container-id-2 div.sk-toggleable {background-color: white;}#sk-container-id-2 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-2 label.sk-toggleable__label-arrow:before {content: "▸";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-2 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-2 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-2 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: "▾";}#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-2 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-2 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-2 div.sk-parallel-item::after {content: "";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-serial::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-2 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-2 div.sk-item {position: relative;z-index: 1;}#sk-container-id-2 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-2 div.sk-item::before, #sk-container-id-2 div.sk-parallel-item::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-2 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-2 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-2 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-2 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-2 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-2 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-2 div.sk-label-container {text-align: center;}#sk-container-id-2 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-2 div.sk-text-repr-fallback {display: none;}</style><div id="sk-container-id-2" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>RandomForestRegressor()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-2" type="checkbox" checked><label for="sk-estimator-id-2" class="sk-toggleable__label sk-toggleable__label-arrow">RandomForestRegressor</label><div class="sk-toggleable__content"><pre>RandomForestRegressor()</pre></div></div></div></div></div>
+
+## Evaluation Results
+
+You can find the details about evaluation process and the evaluation results.
+
+
+
+| Metric   | Value   |
+|----------|---------|
+
+# How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+<details>
+<summary> Click to expand </summary>
+
+```python
+[More Information Needed]
+```
+
+</details>
+
+
+
+
+# Model Card Authors
+
+This model card is written by following authors:
+
+[More Information Needed]
+
+# Model Card Contact
+
+You can contact the model card authors through following channels:
+[More Information Needed]
+
+# Citation
+
+Below you can find information related to citation.
+
+**BibTeX:**
+```
+[More Information Needed]
+```

config.json

@@ -0,0 +1,63 @@
+{
+    "sklearn": {
+        "columns": [
+            "MedInc",
+            "HouseAge",
+            "AveRooms",
+            "AveBedrms",
+            "Population",
+            "AveOccup",
+            "Latitude",
+            "Longitude"
+        ],
+        "environment": [
+            "scikit-learn=1.1.1"
+        ],
+        "example_input": {
+            "AveBedrms": [
+                0.9806451612903225,
+                1.0379746835443038,
+                0.9601449275362319
+            ],
+            "AveOccup": [
+                2.587096774193548,
+                2.8658227848101268,
+                2.6449275362318843
+            ],
+            "AveRooms": [
+                7.275268817204301,
+                5.39493670886076,
+                6.536231884057971
+            ],
+            "HouseAge": [
+                38.0,
+                25.0,
+                39.0
+            ],
+            "Latitude": [
+                37.44,
+                37.31,
+                34.16
+            ],
+            "Longitude": [
+                -122.19,
+                -122.03,
+                -118.07
+            ],
+            "MedInc": [
+                9.3198,
+                5.3508,
+                6.4761
+            ],
+            "Population": [
+                1203.0,
+                1132.0,
+                730.0
+            ]
+        },
+        "model": {
+            "file": "skops-ye71b_vi.pkl"
+        },
+        "task": "tabular-regression"
+    }
+}

skops-ye71b_vi.pkl

@@ -0,0 +1,3 @@
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+size 155942336