初始化项目，由ModelHub XC社区提供模型

Model: cambridgeltl/simctg_wikitext103
Source: Original Platform

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}
+}
+```
+
+