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CustomBertModel.py

@@ -30,7 +30,7 @@ class CustomBertModel(BertModel):
                 norm_function=euclidean_norm
             )
 
-# Define radial basis and norm functions (assuming they're part of your custom RBF implementation)
+# Define radial basis and norm functions
 def gaussian_rbf(x):
     return torch.exp(-x**2)
 

config.json

@@ -23,7 +23,7 @@
   "type_vocab_size": 2,
   "use_cache": true,
   "vocab_size": 30522,
-  "rbf_num_kernels": 2,  
+  "rbf_num_kernels": 2,   
   "custom_feedforward": {
     "intermediate": "CustomRBFFeedForward",   
     "output": "CustomRBFFeedForward"          

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:184053728d42f6abc268e27991d9c7961dfd7d5bedbd19c1f150f7161cbb4e59
+oid sha256:66f24c6c4d89b2d400899e7f44bcaac2a00cfd444d92b7dc70100d7c4fbf3c26
 size 212015704

tokenizer_config.json

@@ -43,11 +43,9 @@
   },
   "clean_up_tokenization_spaces": true,
   "cls_token": "[CLS]",
-  "do_basic_tokenize": true,
   "do_lower_case": true,
   "mask_token": "[MASK]",
   "model_max_length": 512,
-  "never_split": null,
   "pad_token": "[PAD]",
   "sep_token": "[SEP]",
   "strip_accents": null,