Intent Classifier A Hugging Face Space By Eklavyaa Intent classifier like 0 license: apache 2.0 model card filesfiles and versions community edit model card. The data contains more than 2000 user queries that have been generated for each intent with crowdsourcing methods. the dataset is seggregated into train.csv, valid.csv and test.csv and available in the dataset folder.
Vidishakhalpada Intent Classifier Hugging Face Intent detection (or classification) is the process of identifying the user’s intention or purpose behind a given text input. for example, in a chatbot interaction, if a user says, “what’s the weather like today?”, then the intent could be classified as “weather inquiry”. Danish intent classifier like 0 model card filesfiles and versions community no model card. License: apache 2.0 model card filesfiles and versions community train deploy use in transformers edit model card mukalingam0813 finnish intent classifier model description intended uses & limitations training and evaluation data training procedure training hyperparameters training results framework versions. Org profile for third presence on hugging face, the ai community building the future.
Intent Classifier A Hugging Face Space By Xjlulu License: apache 2.0 model card filesfiles and versions community train deploy use in transformers edit model card mukalingam0813 finnish intent classifier model description intended uses & limitations training and evaluation data training procedure training hyperparameters training results framework versions. Org profile for third presence on hugging face, the ai community building the future. User intent classification: the primary intended use of this model is to classify user intent in text data. it is well suited for applications that involve understanding user intentions, such as chatbots, virtual assistants, and recommendation systems. to use this model for user intent classification, you can follow these steps:. Sometimes intent classification is referred to as topic classification. by fine tuning a t5 model with prompts containing sythetic data that resembles customer's requests this model is able to classify intents in a dynamic way by adding all of the categories to the prompt. The model is trained using the trainer module from hugging face, and it can be used for real time intent classification in applications. the repository also includes a fastapi script (main.py) that serves as an api endpoint to classify user queries using the trained model. Text classification using models from hugging face enables developers to automatically categorize text into predefined labels such as sentiment, topic, or intent.
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