2024-02-01 17:32:05 +00:00
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icon: material/water-outline
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2024-01-08 15:22:04 +00:00
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2024-02-01 17:32:05 +00:00
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# 
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2024-01-31 11:44:43 +00:00
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2024-02-02 09:48:15 +00:00
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<div style="text-align: center">
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<p>
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<strong>The simplest way to train and run <a href="/concepts/adapter/">adapters</a> on top of foundation models.</strong>
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</p>
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<a href="https://pypi.org/project/refiners/"><img alt="PyPI - Python Version" src="https://img.shields.io/pypi/pyversions/refiners"></a>
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<a href="https://badge.fury.io/py/refiners"><img alt="PyPI Status" src="https://badge.fury.io/py/refiners.svg"></a>
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<a href="https://github.com/finegrain-ai/refiners/blob/main/LICENSE"><img alt="license" src="https://img.shields.io/badge/license-MIT-blue"></a>
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<a href="https://finegrain.ai/bounties"><img alt="code bounties" src="https://img.shields.io/badge/code-bounties-blue"></a>
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<a href="https://discord.gg/mCmjNUVV7d"><img alt="chat" src="https://img.shields.io/discord/1179456777406922913?logo=discord&logoColor=white&color=%235765F2"></a>
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</div>
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2024-01-31 11:44:43 +00:00
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2024-02-02 09:48:15 +00:00
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Refiners is a microframework built on top of PyTorch with first-class citizen APIs for foundation model adaptation.
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2024-01-31 11:44:43 +00:00
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2024-02-02 09:48:15 +00:00
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It is Open Source and published under the MIT License.
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