Instructions to use xThr45hx/EmbeddingGemma-300M-Tensor-G4-A17 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use xThr45hx/EmbeddingGemma-300M-Tensor-G4-A17 with LiteRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e2119992eb6481bb39d07e4bdf0504ad6e81e990fda1a1fafec599ee8f53f8e
- Size of remote file:
- 511 kB
- SHA256:
- 3b79414dcf01c799b2d0017271776b70e725cc56339be9a2795669f51d7c6fa7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.