
Several updates have been made to the Sentence Transformers framework, including the release of version 3.0 with features like multi-GPU training, bf16 support, loss logging, and seamless integration of callbacks. The new update also introduces SentenceTransformerTrainer and supports training on various datasets. Additionally, the framework has received praise for its integration with Weights & Biases and has reached 14,000 stars on GitHub. Users can now easily finetune embedding models with AutoTrain without coding, enabling customization of RAG or retrieval models.



With sentence transformers support in AutoTrain, training your own custom embedding models is now as easy as: https://t.co/473UALCpB4
You can now finetune embeddings models with Sentence Transformers & AutoTrain without writing any code! Works locally, in Google Colab, on any cloud or via Hugging Face Spaces. Check it out! https://t.co/kNV98nx4gm
🚨 NEW TASK ALERT 🚨 AutoTrain now supports fine-tuning of sentence transformer models 💥 Now, you can improve and customize your RAG or retrieval models without writing a single line of code 🤗 ✅ Supports multiple types of sentence transformers training and finetuning ✅ CSV /… https://t.co/XrJCtrxoFs