Upload GLiNER2

README.md

@@ -1,3 +1,6 @@
+---
+{}
+---
 ## Model Description
 
 GLiNER2 extends the original GLiNER architecture to support multi-task information extraction with a schema-driven interface. This base model provides efficient CPU-based inference while maintaining high accuracy across diverse extraction tasks.

config.json

@@ -4,5 +4,6 @@
   "max_width": 8,
   "model_name": "microsoft/deberta-v3-base",
   "model_type": "extractor",
-  "transformers_version": "4.51.3"
+  "token_pooling": "first",
+  "transformers_version": "4.51.0"
 }

encoder_config/config.json

@@ -27,7 +27,7 @@
   "relative_attention": true,
   "share_att_key": true,
   "torch_dtype": "float32",
-  "transformers_version": "4.51.3",
+  "transformers_version": "4.51.0",
   "type_vocab_size": 0,
   "vocab_size": 128011
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3a22b85f3b81a66869eb6c61c960f26cac5606f3911255ddbb39f76d6d04d0f6
+oid sha256:845fc4bd93c525b86124c58ab4f56c9eacf8587953086b14c501fab25957c007
 size 833938108

tokenizer_config.json

@@ -145,7 +145,7 @@
   "sep_token": "[SEP]",
   "sp_model_kwargs": {},
   "split_by_punct": false,
-  "tokenizer_class": "DebertaV2Tokenizer",
+  "tokenizer_class": "DebertaV2TokenizerFast",
   "unk_token": "[UNK]",
   "vocab_type": "spm"
 }