Instructions to use DialOnce/production-EmbeddingDimensionReducer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DialOnce/production-EmbeddingDimensionReducer with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DialOnce/production-EmbeddingDimensionReducer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from DialOnce/production-EmbeddingDimensionReducer: direct link, hf CLI and curl.
- Browser
- Download file 65 Bytes
-
https://huggingface.co/DialOnce/production-EmbeddingDimensionReducer/resolve/main/config.json
- Command line
-
hf download hf://DialOnce/production-EmbeddingDimensionReducer/config.json
-
curl -L -o config.json https://huggingface.co/DialOnce/production-EmbeddingDimensionReducer/resolve/main/config.json
65 Bytes
| { | |
| "hidden_size": 1536, | |
| "input_dim": 1536, | |
| "output_dim": 2 | |
| } |