multilingual-e5-large

.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
+tokenizer.json filter=lfs diff=lfs merge=lfs -text
+onnx/model.onnx_data filter=lfs diff=lfs merge=lfs -text

1_Pooling/config.json

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+    "pooling_mode_cls_token": false,
+    "pooling_mode_mean_tokens": true,
+    "pooling_mode_max_tokens": false,
+    "pooling_mode_mean_sqrt_len_tokens": false
+}

config.json

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+{
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+  "architectures": [
+    "XLMRobertaModel"
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+  "hidden_act": "gelu",
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+  "hidden_size": 1024,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "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",
+  "torch_dtype": "float32",
+  "transformers_version": "4.29.0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

model.safetensors

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modules.json

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+      "name": "0",
+      "path": "",
+      "type": "sentence_transformers.models.Transformer"
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+      "type": "sentence_transformers.models.Pooling"
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+      "name": "2",
+      "path": "2_Normalize",
+      "type": "sentence_transformers.models.Normalize"
+    }
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onnx/model.onnx

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onnx/model.onnx_data

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onnx/model_quantized.onnx

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pytorch_model.bin

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quantize_config.json

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+{
+    "per_channel": true,
+    "reduce_range": true,
+    "per_model_config": {
+        "model": {
+            "op_types": [
+                "Shape",
+                "Reshape",
+                "Pow",
+                "MatMul",
+                "Expand",
+                "CumSum",
+                "Sqrt",
+                "Transpose",
+                "Equal",
+                "Add",
+                "Cast",
+                "Where",
+                "ReduceMean",
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+                "ConstantOfShape",
+                "Erf",
+                "Concat",
+                "Gather"
+            ],
+            "weight_type": "QInt8"
+        }
+    }
+}

sentence_bert_config.json

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+{
+    "max_seq_length": 512,
+    "do_lower_case": false
+}

sentencepiece.bpe.model

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special_tokens_map.json

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+  "mask_token": {
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+}

tokenizer.json

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tokenizer_config.json

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+  "sep_token": "</s>",
+  "tokenizer_class": "XLMRobertaTokenizer",
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+}