Add pretrained wangchanberta-base-att-spm-uncased model

Vocab: SentencePiece
Vocab size: 25,000
Tokenizer class: transformers.CamembertTokenizer
Checkpoint: 360,000

Version 1.0

config.json

@@ -0,0 +1,23 @@
+{
+  "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": 512,
+  "model_type": "roberta",
+  "num_attention_head": 12,
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "type_vocab_size": 1,
+  "vocab_size": 25005
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4897cb54fac5920be285e1589855866093c8d5cdfc5932cecd0900a50bdba372
+size 423498558