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README.md

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+---
+language: en
+license: apache-2.0
+tags:
+- pegasus
+- paraphrasing
+- seq2seq
+---
+
+## Model description
+[PEGASUS](https://github.com/google-research/pegasus) fine-tuned for paraphrasing
+
+## Model in Action 🚀
+```
+import torch
+from transformers import PegasusForConditionalGeneration, PegasusTokenizer
+model_name = 'tuner007/pegasus_paraphrase'
+torch_device = 'cuda' if torch.cuda.is_available() else 'cpu'
+tokenizer = PegasusTokenizer.from_pretrained(model_name)
+model = PegasusForConditionalGeneration.from_pretrained(model_name).to(torch_device)
+
+def get_response(input_text,num_return_sequences,num_beams):
+  batch = tokenizer([input_text],truncation=True,padding='longest',max_length=60, return_tensors="pt").to(torch_device)
+  translated = model.generate(**batch,max_length=60,num_beams=num_beams, num_return_sequences=num_return_sequences, temperature=1.5)
+  tgt_text = tokenizer.batch_decode(translated, skip_special_tokens=True)
+  return tgt_text
+```
+#### Example: 
+```
+num_beams = 10
+num_return_sequences = 10
+context = "The ultimate test of your knowledge is your capacity to convey it to another."
+get_response(context,num_return_sequences,num_beams)
+# output:
+['The test of your knowledge is your ability to convey it.',
+ 'The ability to convey your knowledge is the ultimate test of your knowledge.',
+ 'The ability to convey your knowledge is the most important test of your knowledge.',
+ 'Your capacity to convey your knowledge is the ultimate test of it.',
+ 'The test of your knowledge is your ability to communicate it.',
+ 'Your capacity to convey your knowledge is the ultimate test of your knowledge.',
+ 'Your capacity to convey your knowledge to another is the ultimate test of your knowledge.',
+ 'Your capacity to convey your knowledge is the most important test of your knowledge.',
+ 'The test of your knowledge is how well you can convey it.',
+ 'Your capacity to convey your knowledge is the ultimate test.']
+```
+
+> Created by [Arpit Rajauria](https://twitter.com/arpit_rajauria)
+[![Twitter icon](https://cdn0.iconfinder.com/data/icons/shift-logotypes/32/Twitter-32.png)](https://twitter.com/arpit_rajauria)

config.json

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+{
+  "activation_dropout": 0.1,
+  "activation_function": "relu",
+  "add_bias_logits": false,
+  "add_final_layer_norm": true,
+  "architectures": [
+    "PegasusForConditionalGeneration"
+  ],
+  "attention_dropout": 0.1,
+  "bos_token_id": 0,
+  "classif_dropout": 0.0,
+  "d_model": 1024,
+  "decoder_attention_heads": 16,
+  "decoder_ffn_dim": 4096,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 16,
+  "dropout": 0.1,
+  "encoder_attention_heads": 16,
+  "encoder_ffn_dim": 4096,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 16,
+  "eos_token_id": 1,
+  "extra_pos_embeddings": 1,
+  "force_bos_token_to_be_generated": false,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
+  },
+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
+  },
+  "length_penalty": 0.8,
+  "max_length": 60,
+  "max_position_embeddings": 60,
+  "model_type": "pegasus",
+  "normalize_before": true,
+  "normalize_embedding": false,
+  "num_beams": 8,
+  "num_hidden_layers": 16,
+  "pad_token_id": 0,
+  "scale_embedding": true,
+  "static_position_embeddings": true,
+  "vocab_size": 96103
+}

pytorch_model.bin

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+size 2275437102

special_tokens_map.json

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+{"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>"}

spiece.model

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tokenizer_config.json

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+{"model_max_length": 60, "special_tokens_map_file": null, "full_tokenizer_file": null}