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sentence-type-classifiers
TigreGotico/sentence-type-classifiers
sentence-type-classifiers is a text classification model from TigreGotico. Use it when you need a label for a piece of text. The card lists the license as apache-2.0.
Multilingual sentence-type classifiers (ONNX) trained on TigreGotico/sentence-types-multilingual (9,900 balanced samples per language, 6 classes).
Access
Public
Updated Apr 28, 2026
Repo size
18 MB
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Repo makeup
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.onnx36 MB · 97%
At a glance
- Task
- Text Classification
- License
- apache-2.0
- Access
- Public
- Created
- Apr 2, 2026
- Updated
- Apr 28, 2026
- SHA
- 8d4e772e
Try a prompt
Model card
From the Hugging Face model README
sentence-types
Multilingual sentence-type classifiers (ONNX) trained on TigreGotico/sentence-types-multilingual (9,900 balanced samples per language, 6 classes).
Used by little_questions.
Classes
command, exclamation, polar_question, request, statement, wh_question
Models
| 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 |
sentence_type_IT_0.8.0.onnx | Italian |
sentence_type_NL_0.8.0.onnx | Dutch |
sentence_type_PT_0.8.0.onnx | Portuguese |
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% |
Inference
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
- Task
- Text Classification
- License
- apache-2.0
- Languages
- en, de, es, fr, it, nl
- Created
- Apr 2, 2026
- Updated
- Apr 28, 2026