Added tokenizer config files

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "/content/scibert_claim_id_3e-05/",
+  "_name_or_path": "biodatlab/score-claim-identification",
   "architectures": [
     "BertForSequenceClassification"
   ],
@@ -27,7 +27,7 @@
   "position_embedding_type": "absolute",
   "problem_type": "single_label_classification",
   "torch_dtype": "float32",
-  "transformers_version": "4.28.0",
+  "transformers_version": "4.29.2",
   "type_vocab_size": 2,
   "use_cache": true,
   "vocab_size": 31090

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:70f935dfc1620e3d2482787f69b3e28690beb57e62d9ff1792bed210340ca0bb
-size 439752821
+oid sha256:e98338e029183fa8f7915a099da287f0e9facea9720165de1b73f092bbc7d874
+size 439750005

special_tokens_map.json

@@ -0,0 +1,7 @@
+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

@@ -0,0 +1,15 @@
+{
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "never_split": null,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}