first release of t5-based model for dialog messages interpretation

README.md

@@ -1,3 +1,11 @@
 ---
 license: lgpl-3.0
 ---
+
+# t5_interpreter
+
+A rut5-based model for incomplete utterance restoration, spellchecking and text normalization for conversation system.
+
+
+<<<...mode information coming soon...>>>
+

config.json

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+{
+  "_name_or_path": "cointegrated/rut5-small-chitchat2",
+  "architectures": [
+    "T5ForConditionalGeneration"
+  ],
+  "d_ff": 1024,
+  "d_kv": 64,
+  "d_model": 512,
+  "decoder_start_token_id": 0,
+  "dense_act_fn": "gelu_new",
+  "dropout_rate": 0.1,
+  "eos_token_id": 1,
+  "feed_forward_proj": "gated-gelu",
+  "gradient_checkpointing": false,
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "is_gated_act": true,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "t5",
+  "num_decoder_layers": 8,
+  "num_heads": 6,
+  "num_layers": 8,
+  "pad_token_id": 0,
+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
+  "tie_word_embeddings": false,
+  "tokenizer_class": "T5Tokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.21.1",
+  "use_cache": true,
+  "vocab_size": 20100
+}

pytorch_model.bin

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tokenizer_config.json

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