
This is a basic general-purpose sentiment classification model that predicts whether a given text has a positive or negative sentiment. The model outputs '0' for negative sentiment and '1' for positive sentiment.

The EOS token utilized for the model is represented by the symbol ">". Thus, in order to ensure proper functionality, it is recommended to conclude inputs with this particular token.

Try out the demo using the following link: https://huggingface.co/spaces/Celestinian/SentimentGPT
{"language": ["en"], "license": "apache-2.0", "inference": false}
transformers pytorch safetensors gpt_neox text-generation en license:apache-2.0 autotrain_compatible has_space text-generation-inference region:us
TAGS
#transformers #pytorch #safetensors #gpt_neox #text-generation #en #license-apache-2.0 #autotrain_compatible #has_space #text-generation-inference #region-us 


This is a basic general-purpose sentiment classification model that predicts whether a given text has a positive or negative sentiment. The model outputs '0' for negative sentiment and '1' for positive sentiment.

The EOS token utilized for the model is represented by the symbol ">". Thus, in order to ensure proper functionality, it is recommended to conclude inputs with this particular token.

Try out the demo using the following link: URL
TAGS
#transformers #pytorch #safetensors #gpt_neox #text-generation #en #license-apache-2.0 #autotrain_compatible #has_space #text-generation-inference #region-us 

TAGS
#transformers #pytorch #safetensors #gpt_neox #text-generation #en #license-apache-2.0 #autotrain_compatible #has_space #text-generation-inference #region-us 
