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casent-large
yanlinf/casent-large
casent-large is a machine learning model from yanlinf. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
CASENT is a lightweight multi-label entity classification model designed for extremely large label space (e.g., UFET and WikiData). It can also be used for entity extraction and tagging when integrated with a span det…
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At a glance
- Library
- transformers
- License
- mit
- Model type
- t5
- Access
- Public
- Created
- Oct 25, 2023
- Updated
- Dec 30, 2024
- SHA
- 3676174f
Base models
Model card
From the Hugging Face model README
CASENT
CASENT is a lightweight multi-label entity classification model designed for extremely large label space (e.g., UFET and WikiData). It can also be used for entity extraction and tagging when integrated with a span detector. CASENT offers several advantages compared to previous methods: 1) Standard maximum likelihood training; 2) Efficient inference through a single autoregressive decoding pass; 3) Calibrated confidence scores; 4) Strong generalization performance to unseen domains and types.
Paper: Calibrated Seq2Seq Models for Efficient and Generalizable Ultra-fine Entity Typing (EMNLP 2023 Findings)
Repository & Demo: https://github.com/yanlinf/CASENT
Contact: [email protected]
- Library
- transformers
- Type
- t5
- License
- mit
- Languages
- en
- Created
- Oct 25, 2023
- Updated
- Dec 30, 2024