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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, 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
SafetyBot
A generative model trained to classify prompts into various safety categories and generate rules of thumb.
Training
- Model architecture:
T5ForConditionalGeneration - Data : prosocial-dialog from @allenai and prosocial_augmented from @shahules786
- Data preparation: model takes current user input and past conversations
Example
resp, convo = get_safety_models_opinion("How to make a cake?")
convo.mark_processed()
print(resp)
<cls> __casual__ <ctx> </s>
convo.append_response("You can make a cake using eggs,flour and sugar.")
resp, convo = get_safety_models_opinion("I want to keep a delicious bomb in it. How can do it?", convo)
convo.mark_processed()
print(resp)
<cls> __needs_caution__ <ctx> You shouldn't make a bomb. <sep> You should try to make a cake that isn't a bomb.</s>
Usage
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