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models352d ago
Training and Finetuning Sparse Embedding Models with Sentence Transformers
The Hugging Face Transformers library now supports sparse embedding models through Sentence Transformers. You can train and fine-tune sparse models using the library's API. Sparse embedding models are useful for applications where memory and compute efficiency are critical. This update enables builders to deploy more efficient models in production.
Key takeaways
- Hugging Face Transformers supports sparse embedding models via Sentence Transformers.
- Sparse models are useful for memory and compute efficiency.
- Enables deployment of efficient models in production.
models352d ago
Training and Finetuning Sparse Embedding Models with Sentence Transformers
The Hugging Face Transformers library now supports sparse embedding models through Sentence Transformers. You can train and fine-tune sparse models using the library's API. Sparse embedding models are useful for applications where memory and compute efficiency are critical. This update enables builders to deploy more efficient models in production.
Key takeaways
- Hugging Face Transformers supports sparse embedding models via Sentence Transformers.
- Sparse models are useful for memory and compute efficiency.
- Enables deployment of efficient models in production.