feat: push converted and quantized models to ONNX

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+.idea
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README.md

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+---
+license: apache-2.0
+language:
+- en
+- fr
+- it
+- ru
+- pt
+- es
+- tr
+base_model:
+- unitary/toxic-bert
+pipeline_tag: text-classification
+tags:
+- toxicity
+- BERT
+- gravitee-io
+- ai-gateway
+---
+# Detoxify ONNX 🚀
+
+This project provides an ONNX-exported and quantized version of the [Detoxify](https://github.com/unitaryai/detoxify) multilingual model, optimized for runtime inference.  
+It enables faster and lighter toxicity detection using ONNX Runtime.
+
+## 🧪 ONNX Evaluation Results
+
+### Original Model (using Detoxify lib and ONNX):
+
+| Threshold | Accuracy | Precision | Recall | F1     | AUC-ROC |
+|----------:|---------:|----------:|-------:|-------:|--------:|
+| **0.2**   | 0.8408   | 0.4899    | 0.8659 | 0.6257 | 0.9345  |
+| **0.4**   | 0.8723   | 0.5628    | 0.7577 | 0.6459 | 0.9345  |
+| **0.5**   | 0.8845   | 0.6073    | 0.7041 | 0.6521 | 0.9345  |
+| **0.7**   | 0.8954   | 0.6951    | 0.5691 | 0.6258 | 0.9345  |
+| **0.9**   | 0.8941   | 0.8501    | 0.3780 | 0.5234 | 0.9345  |
+
+Time for 1 threshold evaluation =~ 3 min 30s 
+
+### Quantized model:
+
+| Threshold | Accuracy | Precision | Recall | F1     | AUC-ROC |
+|----------:|---------:|----------:|-------:|-------:|--------:|
+| **0.2**   | 0.8581   | 0.5249    | 0.8154 | 0.6387 | 0.9306  |
+| **0.4**   | 0.8809   | 0.6001    | 0.6748 | 0.6353 | 0.9306  |
+| **0.5**   | 0.8880   | 0.6408    | 0.6179 | 0.6291 | 0.9306  |
+| **0.7**   | 0.8969   | 0.7467    | 0.4984 | 0.5978 | 0.9306  |
+| **0.9**   | 0.8869   | 0.8878    | 0.3024 | 0.4512 | 0.9306  |
+
+Time for 1 threshold evaluation =~ 2 min 41s 
+
+## 🤗 Usage
+
+```python
+from transformers import AutoTokenizer
+from optimum.onnxruntime import ORTModelForSequenceClassification
+import numpy as np
+
+# Load model and tokenizer using optimum
+model = ORTModelForSequenceClassification.from_pretrained("gravitee-io/detoxify-onnx", file_name="model.quant.onnx")
+tokenizer = AutoTokenizer.from_pretrained("gravitee-io/detoxify-onnx")
+
+# Tokenize input
+text = "Your comment here"
+inputs = tokenizer(text, return_tensors="pt", padding=True, truncation=True)
+
+# Run inference
+outputs = model(**inputs)
+logits = outputs.logits
+
+# Optional: convert to probabilities
+probs = 1 / (1 + np.exp(-logits))
+print(probs)
+```
+
+## 🐙 GitHub Repository: 
+
+You can find the full source code, CLI tools, and evaluation scripts in the official [GitHub repository](https://github.com/gravitee-io-labs/detoxify-onnx).

config.json

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+{
+  "architectures": [
+    "XLMRobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "toxicity",
+    "1": "severe_toxicity",
+    "2": "obscene",
+    "3": "identity_attack",
+    "4": "insult",
+    "5": "threat",
+    "6": "sexual_explicit",
+    "7": "male",
+    "8": "female",
+    "9": "homosexual_gay_or_lesbian",
+    "10": "christian",
+    "11": "jewish",
+    "12": "muslim",
+    "13": "black",
+    "14": "white",
+    "15": "psychiatric_or_mental_illness"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "toxicity": 0,
+    "severe_toxicity": 1,
+    "obscene": 2,
+    "identity_attack": 3,
+    "insult": 4,
+    "threat": 5,
+    "sexual_explicit": 6,
+    "male": 7,
+    "female": 8,
+    "homosexual_gay_or_lesbian": 9,
+    "christian": 10,
+    "jewish": 11,
+    "muslim": 12,
+    "black": 13,
+    "white": 14,
+    "psychiatric_or_mental_illness": 15
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "xlm-roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.51.3",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

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+  "cls_token": "<s>",
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+  "mask_token": {
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+    "lstrip": true,
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+    "single_word": false
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+      "lstrip": true,
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+    }
+  },
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "extra_special_tokens": {},
+  "mask_token": "<mask>",
+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "tokenizer_class": "XLMRobertaTokenizer",
+  "unk_token": "<unk>"
+}