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.gitattributes

@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+onnx/model.onnx_data filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,9 @@
+---
+library_name: transformers.js
+base_model:
+- classla/multilingual-IPTC-news-topic-classifier
+---
+
+# multilingual-IPTC-news-topic-classifier (ONNX)
+
+This is an ONNX version of [classla/multilingual-IPTC-news-topic-classifier](https://huggingface.co/classla/multilingual-IPTC-news-topic-classifier). It was automatically converted and uploaded using [this space](https://huggingface.co/spaces/onnx-community/convert-to-onnx).

config.json

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+  "_attn_implementation_autoset": true,
+  "_name_or_path": "classla/multilingual-IPTC-news-topic-classifier",
+  "architectures": [
+    "XLMRobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
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+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "education",
+    "1": "human interest",
+    "2": "society",
+    "3": "sport",
+    "4": "crime, law and justice",
+    "5": "disaster, accident and emergency incident",
+    "6": "arts, culture, entertainment and media",
+    "7": "politics",
+    "8": "economy, business and finance",
+    "9": "lifestyle and leisure",
+    "10": "science and technology",
+    "11": "health",
+    "12": "labour",
+    "13": "religion",
+    "14": "weather",
+    "15": "environment",
+    "16": "conflict, war and peace"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "label2id": {
+    "arts, culture, entertainment and media": 6,
+    "conflict, war and peace": 16,
+    "crime, law and justice": 4,
+    "disaster, accident and emergency incident": 5,
+    "economy, business and finance": 8,
+    "education": 0,
+    "environment": 15,
+    "health": 11,
+    "human interest": 1,
+    "labour": 12,
+    "lifestyle and leisure": 9,
+    "politics": 7,
+    "religion": 13,
+    "science and technology": 10,
+    "society": 2,
+    "sport": 3,
+    "weather": 14
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "xlm-roberta",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.49.0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

onnx/model.onnx

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onnx/model_fp16.onnx

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quantize_config.json

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+        "fp16",
+        "q8",
+        "int8",
+        "uint8",
+        "q4",
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+    "quant_type": 1,
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+}

special_tokens_map.json

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tokenizer.json

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tokenizer_config.json

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+}