Update README.md

README.md

@@ -59,39 +59,6 @@ Related models: [Cerebras-GPT Models](https://huggingface.co/models?sort=downloa
 
 <br><br>
 
-## Quickstart 
-
-This model can be easily loaded using the AutoModelForCausalLM functionality:
-```python
-from transformers import AutoTokenizer, AutoModelForCausalLM
-
-tokenizer = AutoTokenizer.from_pretrained("cerebras/Cerebras-GPT-111M")
-model = AutoModelForCausalLM.from_pretrained("cerebras/Cerebras-GPT-111M")
-
-text = "Generative AI is "
-```
-
-And can be used with Hugging Face Pipelines
-
-```python
-from transformers import pipeline
-
-pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)
-generated_text = pipe(text, max_length=50, do_sample=False, no_repeat_ngram_size=2)[0]
-print(generated_text['generated_text'])
-```
-
-or with `model.generate()`
-
-```python
-inputs = tokenizer(text, return_tensors="pt")
-outputs = model.generate(**inputs, num_beams=5, 
-                        max_new_tokens=50, early_stopping=True,
-                        no_repeat_ngram_size=2)
-text_output = tokenizer.batch_decode(outputs, skip_special_tokens=True)
-print(text_output[0])
-```
-<br><br>
 
 ## Training data