Upload SPLADE-PT-BR model v1.0.0

config.json

@@ -1,28 +1,31 @@
 {
   "architectures": [
-    "Splade"
+    "BertForMaskedLM"
   ],
-  "model_type": "splade",
-  "base_model": "neuralmind/bert-base-portuguese-cased",
-  "model_type_or_dir": "neuralmind/bert-base-portuguese-cased",
-  "vocab_size": 29794,
-  "hidden_size": 768,
-  "num_hidden_layers": 12,
-  "num_attention_heads": 12,
-  "intermediate_size": 3072,
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "directionality": "bidi",
+  "dtype": "float32",
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
-  "attention_probs_dropout_prob": 0.1,
-  "max_position_embeddings": 512,
-  "type_vocab_size": 2,
+  "hidden_size": 768,
   "initializer_range": 0.02,
+  "intermediate_size": 3072,
   "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
   "pad_token_id": 0,
+  "pooler_fc_size": 768,
+  "pooler_num_attention_heads": 12,
+  "pooler_num_fc_layers": 3,
+  "pooler_size_per_head": 128,
+  "pooler_type": "first_token_transform",
   "position_embedding_type": "absolute",
+  "transformers_version": "4.57.3",
+  "type_vocab_size": 2,
   "use_cache": true,
-  "classifier_dropout": null,
-  "aggregation": "max",
-  "output": "MLM",
-  "fp16": true,
-  "agg": "max"
-}
+  "vocab_size": 29794
+}

model_metadata.json

@@ -75,7 +75,7 @@
   },
   "huggingface": {
     "repo_id": "AxelPCG/splade-pt-br",
-    "model_type": "splade",
+    "model_type": "bert",
     "pipeline_tag": "feature-extraction",
     "license": "apache-2.0"
   },