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:
- 3cc41d81d95c2ff8907b8d805537d56069e2c2a100aaf5b1d59b30eb40bc4af9
- Size of remote file:
- 11.4 MB
- SHA256:
- 3ebcdbf422aff6939ecdff16d65f85124465337acfa29b232cf318b71a814214
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