Instructions to use DialOnce/local-EmbeddingDimensionReducer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DialOnce/local-EmbeddingDimensionReducer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DialOnce/local-EmbeddingDimensionReducer", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Push model using huggingface_hub.
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 2370688
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:542c2e1deea73dda2108e20cab621b1df7e1132e19446771901d3c6000d841bd
|
| 3 |
size 2370688
|