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The pipeline tag "text2text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-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-ranking, 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, visual-document-retrieval, any-to-any, video-to-video, other
Model Card for Model ID
A Mistral-7B-instruct-v0.1 model to extract the references from a text of US Public law articles (titles). It is fine-tuned over a set of 18k high quality law title-references pairs.
Model Details
Model Description
Finetuned from model: mistralai/Mistral-7B-Instruct-v0.1
- Developed by: Andrea Colombo, Politecnico di Milano
- Model type: text generation
- License: Apache 2.0
- Finetuned from model: mistralai/Mistral-7B-Instruct-v0.1
Model tree for andre156/US-Laws-Reference-Extractor
Base model
mistralai/Mistral-7B-v0.1
Finetuned
mistralai/Mistral-7B-Instruct-v0.1