145-distill-v2-adapter is a fine-tuned transformer adapter model distributed in safetensors format for use in natural language processing tasks. It is designed for integration with transformer-based pipelines and supports research and experimentation by NLP developers and researchers.
145 Distill V2 Adapter sits in PulseGate's Other AI category. It focuses on providing a fine-tuned adapter model for enhancing transformer-based NLP pipelines. 145 Distill V2 Adapter is an open-source project aimed at NLP researchers and developers. The project is open source (Apache-2.0). 145 Distill V2 Adapter is available on the web and the command line, and it can be self-hosted.
It is developed by anton-ro, and the product first shipped in 2020. The project is developed in the open on GitHub with 18.8k stars and 489 commits in the last 90 days. Among its 5 catalogued features are transformer adapter, fine-tuned weights, and NLP tasks.
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