Text Generation
Transformers
PyTorch
English
gpt_neox
text-generation-inference
Inference Endpoints
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Update README.md

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@@ -6,6 +6,15 @@ datasets:
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  - togethercomputer/RedPajama-Data-1T
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  - Muennighoff/P3
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  - Muennighoff/natural-instructions
 
 
 
 
 
 
 
 
 
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  ---
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  # RedPajama-INCITE-Instruct-3B-v1
 
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  - togethercomputer/RedPajama-Data-1T
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  - Muennighoff/P3
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  - Muennighoff/natural-instructions
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+ widget:
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+ - text: "Label the tweets as either 'positive', 'negative', 'mixed', or 'neutral': \n\nTweet: I can say that there isn't anything I would change.\nLabel: positive\n\nTweet: I'm not sure about this.\nLabel: neutral\n\nTweet: I liked some parts but I didn't like other parts.\nLabel: mixed\n\nTweet: I think the background image could have been better.\nLabel: negative\n\nTweet: I really like it.\nLabel:"
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+ example_title: "Sentiment Analysis"
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+ inference:
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+ parameters:
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+ temperature: 0.7
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+ top_p: 0.7
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+ top_k: 50
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+ max_new_tokens: 128
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  ---
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  # RedPajama-INCITE-Instruct-3B-v1