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:
- b5a592a2418f3784bb7f3cc06ef240697d171f970e1a3ab4136b3b40a5b30f13
- Size of remote file:
- 1.19 GB
- SHA256:
- 0dbfaf8b004d274b4b075d19196d6cab2034f7b9f13e2964f678a76ab43c78f3
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