togethercomputer
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GPT-JT-6B-v1

Text Generation

Inference Endpoints

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juewang commited on Nov 28, 2022

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@@ -87,7 +87,7 @@ We incorporated a collection of open techniques and datasets to build GPT-JT:
 With the help of techniques mentioned above, GPT-JT significantly improves the performance of classification tasks over the original GPT-J, and even outperforms most 100B+ parameter models!
-***Please try out our [Online Demo](https://huggingface.co/spaces/togethercomputer/GPT-JT)!***
 # Quick Start
@@ -96,9 +96,7 @@ from transformers import pipeline
 pipe = pipeline(model='togethercomputer/GPT-JT-6B-v1')
 pipe('''"I love this!" Is it positive? A:''')
 ```
 or
 ```python
 from transformers import AutoTokenizer, AutoModelForCausalLM
 tokenizer = AutoTokenizer.from_pretrained("togethercomputer/GPT-JT-6B-v1")

 With the help of techniques mentioned above, GPT-JT significantly improves the performance of classification tasks over the original GPT-J, and even outperforms most 100B+ parameter models!
+***<p style="font-size: 24px">Please try out our [Online Demo](https://huggingface.co/spaces/togethercomputer/GPT-JT)!</p>***
 # Quick Start
 pipe = pipeline(model='togethercomputer/GPT-JT-6B-v1')
 pipe('''"I love this!" Is it positive? A:''')
 ```
 or
 ```python
 from transformers import AutoTokenizer, AutoModelForCausalLM
 tokenizer = AutoTokenizer.from_pretrained("togethercomputer/GPT-JT-6B-v1")