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:
- cde9e81fbd2c9e92fc5b8c4762f0f5bf35c984f79407dc8f085181f880b702d1
- Size of remote file:
- 1.19 GB
- SHA256:
- 180fbf0c9c0e39729680f487afae33a97fc4cffdb9eb224df91f2b3f0b109f2c
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