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README.md

@@ -1,39 +1,39 @@
-        ---
-        language:
-          - en
-          - de
-          - es
-          - fr
-          - it
-          - nl
-          - pt
-        license: apache-2.0
-        tags:
-          - sentence-classification
-          - text-classification
-          - onnx
-          - multilingual
-        datasets:
-          - TigreGotico/sentence-types-multilingual
-        ---
+---
+language:
+  - en
+  - de
+  - es
+  - fr
+  - it
+  - nl
+  - pt
+license: apache-2.0
+tags:
+  - sentence-classification
+  - text-classification
+  - onnx
+  - multilingual
+datasets:
+  - TigreGotico/sentence-types-multilingual
+---
 
-        # sentence-types
+# sentence-types
 
-        Multilingual sentence-type classifiers (ONNX) trained on
-        [TigreGotico/sentence-types-multilingual](https://huggingface.co/datasets/TigreGotico/sentence-types-multilingual)
-        (9,900 balanced samples per language, 6 classes).
+Multilingual sentence-type classifiers (ONNX) trained on
+[TigreGotico/sentence-types-multilingual](https://huggingface.co/datasets/TigreGotico/sentence-types-multilingual)
+(9,900 balanced samples per language, 6 classes).
 
-        Used by [little_questions](https://github.com/OpenJarbas/little_questions).
+Used by [little_questions](https://github.com/OpenJarbas/little_questions).
 
-        ## Classes
+## Classes
 
-        `command`, `exclamation`, `polar_question`, `request`, `statement`, `wh_question`
+`command`, `exclamation`, `polar_question`, `request`, `statement`, `wh_question`
 
-        ## Models
+## Models
 
-        | File | Language |
-        |------|----------|
-        | `sentence_type_EN_0.8.0.onnx` | English |
+| File | Language |
+|------|----------|
+| `sentence_type_EN_0.8.0.onnx` | English |
 | `sentence_type_DE_0.8.0.onnx` | German |
 | `sentence_type_ES_0.8.0.onnx` | Spanish |
 | `sentence_type_FR_0.8.0.onnx` | French |
@@ -41,26 +41,26 @@
 | `sentence_type_NL_0.8.0.onnx` | Dutch |
 | `sentence_type_PT_0.8.0.onnx` | Portuguese |
 
-        ## Accuracy
+## Accuracy
 
-        | Language | Accuracy | Macro F1 |
-        |----------|----------|----------|
-        | EN | 99.2% | 99.2% |
-        | NL | 98.8% | 98.8% |
-        | FR | 97.1% | 97.1% |
-        | IT | 97.0% | 97.0% |
-        | PT | 95.4% | 95.4% |
-        | DE | 85.6% | 84.9% |
-        | ES | 74.6% | 72.7% |
+| Language | Accuracy | Macro F1 |
+|----------|----------|----------|
+| EN | 99.2% | 99.2% |
+| NL | 98.8% | 98.8% |
+| FR | 97.1% | 97.1% |
+| IT | 97.0% | 97.0% |
+| PT | 95.4% | 95.4% |
+| DE | 85.6% | 84.9% |
+| ES | 74.6% | 72.7% |
 
-        ## Inference
+## Inference
 
-        ```python
-        import onnxruntime as rt, numpy as np, json
+```python
+import onnxruntime as rt, numpy as np, json
 
-        sess = rt.InferenceSession("sentence_type_EN_0.8.0.onnx")
-        classes = json.loads(sess.get_modelmeta().custom_metadata_map["classes"])
-        inp = np.array(["Who invented the telephone?"], dtype=object)
-        label_idx, probs = sess.run(None, {"input": inp})
-        print(classes[int(label_idx[0])])   # wh_question
-        ```
+sess = rt.InferenceSession("sentence_type_EN_0.8.0.onnx")
+classes = json.loads(sess.get_modelmeta().custom_metadata_map["classes"])
+inp = np.array(["Who invented the telephone?"], dtype=object)
+label_idx, probs = sess.run(None, {"input": inp})
+print(classes[int(label_idx[0])])   # wh_question
+```