
The TopicGPT model has been developed with the aim of detecting and extracting the primary subject matter of conversations. This capability can prove to be exceedingly beneficial in a wide range of natural language processing (NLP) applications. To utilize the TopicGPT model, one only needs to input the conversational text or data for analysis. Subsequently, the model processes the input and returns a reasonably precise estimate of the primary topic of the conversation.

For your convenience, the TopicGPT model can be accessed through the following link: https://huggingface.co/spaces/Celestinian/Topic-Detection.

**Additional Details**

It is essential to note that the input provided to this model must commence with #CONTEXT# (BOS) and terminate with #TOPIC# (EOS). Here is an example:

#CONTEXT# The quick brown fox jumps over the lazy dog! #TOPIC#
{"license": "mit", "inference": false}
transformers pytorch gpt2 text-generation license:mit autotrain_compatible has_space text-generation-inference region:us
TAGS
#transformers #pytorch #gpt2 #text-generation #license-mit #autotrain_compatible #has_space #text-generation-inference #region-us 


The TopicGPT model has been developed with the aim of detecting and extracting the primary subject matter of conversations. This capability can prove to be exceedingly beneficial in a wide range of natural language processing (NLP) applications. To utilize the TopicGPT model, one only needs to input the conversational text or data for analysis. Subsequently, the model processes the input and returns a reasonably precise estimate of the primary topic of the conversation.

For your convenience, the TopicGPT model can be accessed through the following link: URL

Additional Details

It is essential to note that the input provided to this model must commence with #CONTEXT# (BOS) and terminate with #TOPIC# (EOS). Here is an example:

#CONTEXT# The quick brown fox jumps over the lazy dog! #TOPIC#
# (BOS) and terminate with #TOPIC# (EOS). Here is an example: # The quick brown fox jumps over the lazy dog! #TOPIC#
TAGS
#transformers #pytorch #gpt2 #text-generation #license-mit #autotrain_compatible #has_space #text-generation-inference #region-us 
 # (BOS) and terminate with #TOPIC# (EOS). Here is an example: # The quick brown fox jumps over the lazy dog! #TOPIC#
TAGS
#transformers #pytorch #gpt2 #text-generation #license-mit #autotrain_compatible #has_space #text-generation-inference #region-us 
# (BOS) and terminate with #TOPIC# (EOS). Here is an example:# The quick brown fox jumps over the lazy dog! #TOPIC#