Instructions to use LimitedMouse/Generative-Embedding-Benchmark-Checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LimitedMouse/Generative-Embedding-Benchmark-Checkpoints with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LimitedMouse/Generative-Embedding-Benchmark-Checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ab16a13713398be2d9f55fd3958c1d7f2ed338c53457eac02a2898140ab4a89
- Size of remote file:
- 12.6 MB
- SHA256:
- f58f59e2a45f48ab80045e11fa795520e29e1e0cbd3f8b313353d8ab186836f4
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