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The pipeline tag "conversational" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, text2text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, any-to-any, other
Model Card for Fine-tuned T5-Base Conversational Model
Model Details
- Model name: Fine-tuned T5-base Conversational Model
- Model type: Transformer-based language model
- Original model: T5-base from Hugging Face model hub
- Fine-tuning details: The model has been fine-tuned on a custom conversational dataset. It includes a variety of dialogues covering multiple topics, aimed at increasing the model's ability to respond accurately and engagingly in conversational tasks.
Intended Use
This model is intended for use in conversation-based applications. These can range from chatbots to virtual assistants, customer support automation, and more.
Examples
The above image showcases a sample conversation that took place between the user and the chatbot powered by our fine-tuned T5-base model. As seen, the model is able to generate engaging and contextually appropriate responses.
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