Update README.md

README.md

@@ -12,8 +12,6 @@ inference:
 language: 
   - en
 pipeline_tag: text-generation
-tags: 
-  - gpt
 widget: 
   - 
     example_title: "ADE Corpus V2"
@@ -205,6 +203,15 @@ from transformers import pipeline
 pipe = pipeline(model='togethercomputer/GPT-JT-6B-v1')
 pipe('''Please answer the following question:\n\nQuestion: Where is Zurich?\nAnswer:''')
 ```
+
+or
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+tokenizer = AutoTokenizer.from_pretrained("togethercomputer/GPT-JT-6B-v1")
+model = AutoModelForCausalLM.from_pretrained("togethercomputer/GPT-JT-6B-v1")
+```
+
 # Training Data
 We fine-tune [GPT-J-6B](https://huggingface.co/EleutherAI/gpt-j-6B) on NI, P3, COT, the pile data.
 - [Natural-Instructions](https://github.com/allenai/natural-instructions)