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Model: cambridgeltl/simctg_wikitext103
Source: Original Platform

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README.md

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+This model provides a GPT-2 language model trained with SimCTG on the Wikitext-103 benchmark [(Merity et al., 2016)](https://arxiv.org/abs/1609.07843) based on our paper [_A Contrastive Framework for Neural Text Generation_](https://arxiv.org/abs/2202.06417).
+
+We provide a detailed tutorial on how to apply SimCTG and Contrastive Search in our [project repo](https://github.com/yxuansu/SimCTG#4-huggingface-style-tutorials-back-to-top). In the following, we illustrate a brief tutorial on how to use our approach to perform text generation.
+
+## 1. Installation of SimCTG:
+```yaml
+pip install simctg --upgrade
+```
+
+## 2. Initialize SimCTG Model:
+```python
+import torch
+# load SimCTG language model
+from simctg.simctggpt import SimCTGGPT
+model_name = r'cambridgeltl/simctg_wikitext103'
+model = SimCTGGPT(model_name)
+model.eval()
+tokenizer = model.tokenizer
+```
+
+## 3. Prepare the Text Prefix:
+```python
+prefix_text = r"Butt criticized Donald 's controls in certain situations in the game , as well as the difficulty of some levels and puzzles . 
+Buchanan also criticized the controls , calling"
+print ('Prefix is: {}'.format(prefix_text))
+tokens = tokenizer.tokenize(prefix_text)
+input_ids = tokenizer.convert_tokens_to_ids(tokens)
+input_ids = torch.LongTensor(input_ids).view(1,-1)
+```
+
+## 4. Generate Text with Contrastive Search:
+```python
+beam_width, alpha, decoding_len = 8, 0.6, 128
+output = model.fast_contrastive_search(input_ids=input_ids, beam_width=beam_width, 
+                                       alpha=alpha, decoding_len=decoding_len)    
+                                           
+print("Output:\n" + 100 * '-')
+print(tokenizer.decode(output))
+'''
+  Prefix is: Butt criticized Donald 's controls in certain situations in the game , as well as the difficulty of some levels and puzzles . 
+             Buchanan also criticized the controls , calling
+  Output:
+  ----------------------------------------------------------------------------------------------------
+  Butt criticized Donald's controls in certain situations in the game, as well as the difficulty of some levels and puzzles. Buchanan also 
+  criticized the controls, calling them " unimpressive " and a " nightmare " of an experience to play with players unfamiliar with Tetris. 
+  On the other hand, his opinion was shared by other reviewers, and some were critical of the game's technical design for the Wii version 
+  of Tetris. In addition, Tintin's review included a quote from Roger Ebert, who said that Tetris was better than the original game due to 
+  its simplicity and ease of play. Ebert's comments were included in the game's DVD commentary, released on March 22, 2010. It is unclear 
+  if any of the video commentary was taken from the DVD
+'''
+```
+
+For more details of our work, please refer to our main [project repo](https://github.com/yxuansu/SimCTG).
+
+## 5. Citation:
+If you find our paper and resources useful, please kindly leave a star and cite our paper. Thanks!
+
+```bibtex
+@article{su2022contrastive,
+  title={A Contrastive Framework for Neural Text Generation},
+  author={Su, Yixuan and Lan, Tian and Wang, Yan and Yogatama, Dani and Kong, Lingpeng and Collier, Nigel},
+  journal={arXiv preprint arXiv:2202.06417},
+  year={2022}
+}
+```
+
+

config.json

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+{
+  "_name_or_path": "gpt2",
+  "activation_function": "gelu_new",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50256,
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50256,
+  "gradient_checkpointing": false,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 1024,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": null,
+  "n_layer": 12,
+  "n_positions": 1024,
+  "resid_pdrop": 0.1,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "task_specific_params": {
+    "text-generation": {
+      "do_sample": true,
+      "max_length": 50
+    }
+  },
+  "transformers_version": "4.7.0",
+  "use_cache": true,
+  "vocab_size": 50257
+}

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special_tokens_map.json

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+{"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "unk_token": "<|endoftext|>"}

tokenizer_config.json

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+{"unk_token": "<|endoftext|>", "bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "add_prefix_space": false, "model_max_length": 1024, "special_tokens_map_file": null, "name_or_path": "gpt2"}