5/29/2023 0 Comments Tuner imageSubscribe to the latest video tutorials on our YouTube channelįinetuner is backed by Jina AI and licensed under Apache-2.0. Join our Engineering All Hands meet-up to discuss your use case and learn Jina AI new features. Join our Slack community and chat with other Jina AI community members about ideas. Use Discussions to talk about your use cases, questions, and Improving Search Quality for Non-English Queries with Fine-tuned Multilingual CLIP Models Hype and Hybrids: Search is more than Keywords and Vectors Pip install "finetuner" Articles about Finetuner #Ĭheck out our published blogposts and tutorials to see Finetuner in action!įine-tuning with Low Budget and High Expectations Fine-tuning is a super-powerful method to obtain image classifiers on your own custom datasets from pre-trained CNNs (and is even more powerful than transfer learning via feature extraction ). Finetuner can be installed via pip by executing: Make sure you have Python 3.8+ installed. Without worrying about resource availability, complex integration, or infrastructure costs. ☁ All-in-cloud: Train using our GPU infrastructure, manage runs, experiments, and artifacts on Jina AI Cloud □ Simple yet powerful: Easy access to 40+ mainstream loss functions, 10+ optimizers, layer pruning, weightįreezing, dimensionality reduction, hard-negative mining, cross-modal models, and distributed training. □ Performance promise: Enhance the performance of pre-trained models so that they deliver state-of-the-art performance on ⏰ Low budget, high expectations: Bring considerable improvements to model performance, making the most out of as little as a few hundred training samples, and finish fine-tuning in as little as an hour. □ Better embeddings: Create high-quality embeddings for semantic search, visual similarity search, cross-modal textimage search, recommendation systems,Ĭlustering, duplication detection, anomaly detection, or other uses. Making them production-ready without extensive labeling or expensive hardware. With Finetuner, you can easily enhance the performance of pre-trained models, Jina AI’s Finetuner makes fine-tuning easier and faster by streamlining the workflow and handling all the complexity and infrastructure in the cloud. However, setting up and performing fine-tuning can be very time-consuming and resource-intensive. Toggle table of contents sidebar Welcome to Finetuner! #įine-tuning is an effective way to improve performance on neural search tasks.
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