YAML Metadata
Warning:
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, other
Model Card for Model ID
Its the Portal Space Core
Model Details
Model Description
- Developed by: [ELMatero]
- Shared by [optional]: [ELMatero]
- Model type: [conversational]
- Language(s) (NLP): [English]
- License: [Other]
- Finetuned from model [optional]: [DialoGPT-Small]
Uses
The Hosted Inference API Breaks it, I haven't figured out a way to limit its responses so its hard capped at 512 in the Generation_Config.json file. Just change that back to 1024 and you are good so if someone knows please send a pull request or a edit or something!
Direct Use
Just use it like you would usually for DialoGPT-small.
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