Create README.md

README.md

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+https://colab.research.google.com/drive/1Dlm8FA9JjjcqJIkfCagaIQWex8Ho5IKI#scrollTo=e8xIjRNsl3Bb
+```
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+tokenizer = AutoTokenizer.from_pretrained("GeneralRincewind/ShakespeareGPT")
+model = AutoModelForCausalLM.from_pretrained("GeneralRincewind/ShakespeareGPT")
+
+#### Generate text
+from transformers import TextStreamer
+tokenized_text = tokenizer("", return_tensors="pt",  truncation=True)
+input_ids = tokenized_text.input_ids
+streamer = TextStreamer(tokenizer)
+model.eval()
+full_completion = model.generate(inputs=tokenized_text["input_ids"].to("cuda"),
+    attention_mask=tokenized_text["attention_mask"].to("cuda"),
+    temperature=0.9,
+     top_k=80,
+     top_p=0.65,
+    do_sample=True,
+    streamer=streamer,                           
+    num_beams=1,
+    max_new_tokens=500,
+    eos_token_id=tokenizer.eos_token_id,
+    pad_token_id=tokenizer.pad_token_id,
+    repetition_penalty=1)
+
+decoded_text = tokenizer.decode(full_completion[0])
+print(decoded_text)
+```