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:
- 548cc7b8ad3f00ad358be0ff4fb8b8a0c8d0881b329bdccd7ef7fa6820f86e31
- Size of remote file:
- 21 MB
- SHA256:
- 41c8b0371065dbbbf24cc9d55fa9989062ea96d59400bd172674cf34ee75d2a1
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