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model_index.json

@@ -6,8 +6,8 @@
     "FlowMatchEulerDiscreteScheduler"
   ],
   "text_encoder": [
-    "transformers_modules.visheratin.mexma-siglip.c284b0df4f065b1a702913fc0d79db7f254df274.mexma_siglip",
-    "MexmaSigLIP"
+    "transformers",
+    "XLMRobertaModel"
   ],
   "tokenizer": [
     "transformers",

text_encoder/config.json

@@ -1,13 +1,28 @@
 {
-  "_name_or_path": "visheratin/mexma-siglip",
+  "_name_or_path": "xlm-roberta-large",
   "architectures": [
-    "MexmaSigLIP"
+    "XLMRobertaModel"
   ],
-  "auto_map": {
-    "AutoConfig": "visheratin/mexma-siglip--mexma_siglip.MexmaSigLIPConfig",
-    "AutoModel": "visheratin/mexma-siglip--mexma_siglip.MexmaSigLIP"
-  },
-  "optimized": false,
+  "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": 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": "bfloat16",
-  "transformers_version": "4.46.3"
+  "transformers_version": "4.46.3",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
 }

text_encoder/model.fp16.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:27bc370ee5c95b29ebc1207960299d754f9715648c332709fc6a3b4b8dea9c9a
-size 1120090484
+oid sha256:0b266a0c06eab12cca17e65a4b4a97f2a4aa2750ce2edf3b7701fa1067a078d6
+size 1117726680