add T5 model

added_tokens.json

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+{" <=": 32100, " <": 32101}

config.json

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+{
+  "_name_or_path": "/safekeeping/t5-1.1.lm100k/t5.1.1.lm100k.base/pytorch_model/",
+  "architectures": [
+    "T5ForConditionalGeneration"
+  ],
+  "d_ff": 2048,
+  "d_kv": 64,
+  "d_model": 768,
+  "decoder_start_token_id": 0,
+  "diversity_penalty": null,
+  "dropout_rate": 0.1,
+  "eos_token_id": 1,
+  "feed_forward_proj": "gated-gelu",
+  "gradient_checkpointing": false,
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "layer_norm_epsilon": 1e-06,
+  "max_length": 512,
+  "model_type": "t5",
+  "num_beams": 4,
+  "num_decoder_layers": 12,
+  "num_heads": 12,
+  "num_layers": 12,
+  "output_past": true,
+  "pad_token_id": 0,
+  "relative_attention_num_buckets": 32,
+  "tie_word_embeddings": false,
+  "transformers_version": "4.8.2",
+  "use_cache": true,
+  "vocab_size": 32102
+}

optimizer.pt

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pytorch_model.bin

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rng_state_0.pth

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rng_state_1.pth

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scheduler.pt

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special_tokens_map.json

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spiece.model

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tokenizer_config.json

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training_args.bin

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