145 Distill Adapter is a machine learning model available on Hugging Face. It has been fine-tuned using the TRL framework and is distributed as a repository that can be accessed after agreeing to certain conditions. The model can be loaded directly through the Transformers library, allowing users to import it using AutoModel from the Hugging Face Transformers package. Instructions are provided for using the model with various libraries, inference providers, notebooks, and local applications, including platforms such as Google Colab and Kaggle.
The repository is publicly accessible on Hugging Face, though access to the model’s files and content requires users to agree to share their contact information and accept specified conditions. There is no explicit mention of pricing, licensing terms, or specific intended audiences beyond the requirement to log in and agree to conditions for access.
145 Distill Adapter is categorized as a fine-tuned model that can be integrated into workflows using the Hugging Face Transformers ecosystem. It is suitable for users who are familiar with loading and utilizing models from Hugging Face and who require a model trained with the TRL framework.
145 Distill Adapter is an Other AI product. Developers need accessible, fine-tuned AI models for natural language processing tasks. 145 Distill Adapter is an open-source project aimed at machine learning developers. The project is open source (Apache-2.0). The product ships for 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 485 commits in the last 90 days. Among its 5 catalogued features are transformer compatible, fine-tuned weights, and local inference.
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