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:
- 70d3494fb75ece04c688fe9ee9270b84520dc5763683ba827ce127cc765c3c42
- Size of remote file:
- 21 MB
- SHA256:
- 2bdd5729338c2f8e3376922517bcccf24dc289aed4ea56af4f891a600bc9af06
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