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.gitattributes

@@ -33,3 +33,4 @@ 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

config.json

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+{
+  "_name_or_path": "tmp/",
+  "architectures": [
+    "BertModel"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 384,
+  "initializer_range": 0.02,
+  "intermediate_size": 1536,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "tokenizer_class": "XLMRobertaTokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.29.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 250037
+}

kensora-manifest.json

@@ -0,0 +1,19 @@
+{
+  "model_version": "multilingual-e5-small",
+  "source_repo": "intfloat/multilingual-e5-small",
+  "license": "MIT",
+  "dimension": 384,
+  "max_sequence_length": 512,
+  "quantized": true,
+  "pooling": "attention-mask mean + L2 normalize (baked in-graph)",
+  "inputs": {
+    "input_ids": "int32 [1, seq]",
+    "attention_mask": "int32 [1, seq]"
+  },
+  "output": {
+    "embedding": "float32 [1, 384], L2-normalized"
+  },
+  "worst_validation_cosine": 0.99982,
+  "semantic_related": 0.8342,
+  "semantic_unrelated": 0.7772
+}

multilingual-e5-small.mlpackage/Data/com.apple.CoreML/model.mlmodel

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multilingual-e5-small.mlpackage/Data/com.apple.CoreML/weights/weight.bin

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multilingual-e5-small.mlpackage/Manifest.json

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+            "description": "CoreML Model Weights",
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+            "description": "CoreML Model Specification",
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+        }
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+}

sentencepiece.bpe.model

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special_tokens_map.json

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+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": "<mask>",
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
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+}

tokenizer.json

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tokenizer_config.json

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+  "eos_token": "</s>",
+  "mask_token": {
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+    "normalized": true,
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+  "sp_model_kwargs": {},
+  "tokenizer_class": "XLMRobertaTokenizer",
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+}