Initialized

README.md

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+---
+language: fa
+license: apache-2.0
+---
+
+
+# DistilBERT
+This model can tackle the zero-width non-joiner character for Persian writing. Also, the model was trained on new multi-types corpora with a new set of vocabulary.
+
+
+## Questions?
+Post a Github issue on the [ParsRoBERTa Issues](https://github.com/hooshvare/roberta/issues) repo.

config.json

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+{
+  "architectures": [
+    "RobertaForMaskedLM"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "transformers_version": "4.2.2",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 42000
+}

pytorch_model.bin

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+size 473455707

special_tokens_map.json

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+{
+    "bos_token": "<s>",
+    "eos_token": "</s>",
+    "unk_token": "<unk>",
+    "sep_token": "</s>",
+    "pad_token": "<pad>",
+    "cls_token": "<s>",
+    "mask_token": {
+        "content": "<mask>",
+        "single_word": false,
+        "lstrip": true,
+        "rstrip": false,
+        "normalized": false
+    }
+}

tf_model.h5

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tokenizer_config.json

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+{
+    "unk_token": "<unk>",
+    "bos_token": "<s>",
+    "eos_token": "</s>",
+    "add_prefix_space": false,
+    "errors": "replace",
+    "sep_token": "</s>",
+    "cls_token": "<s>",
+    "pad_token": "<pad>",
+    "mask_token": "<mask>",
+    "special_tokens_map_file": null
+}