Migrate model card from transformers-repo

Read announcement at /static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fannouncement-all-model-cards-will-be-migrated-to-hf-co-model-repos%2F2755%3Cbr%2F%3EOriginal file history: https://github.com/huggingface/transformers/commits/master/model_cards/google/reformer-crime-and-punishment/README.md

README.md

@@ -0,0 +1,20 @@
+## Reformer Model trained on "Crime and Punishment" 
+
+Crime and Punishment is a novel written by Fyodor Dostoevsky and was translated into English. 
+
+Crime and Punishment training data was taken from `gs://trax-ml/reformer/crime-and-punishment-2554.txt` and contains 
+roughly 0.5M tokens. 
+
+The ReformerLM model was trained in flax using colab notebook proposed by authors: https://colab.research.google.com/github/google/trax/blob/master/trax/models/reformer/text_generation.ipynb and the weights were converted to Hugging Face's PyTorch ReformerLM model `ReformerModelWithLMHead`.
+
+The model is a language model that operates on small sub-word units. Text can be generated as follows:
+
+```python
+model = ReformerModelWithLMHead.from_pretrained("google/reformer-crime-and-punishment")
+tok = ReformerTokenizer.from_pretrained("google/reformer-crime-and-punishment")
+tok.decode(model.generate(tok.encode("A few months later", return_tensors="pt"), do_sample=True,temperature=0.7, max_length=100)[0])
+
+# gives:'A few months later on was more than anything in the flat. 
+# “I have already.” “That’s not my notion that he had forgotten him. 
+# What does that matter? And why do you mean? It’s only another fellow,” he said as he went out, as though he want'
+```