Instructions to use diarsabri/LaDPR-query-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use diarsabri/LaDPR-query-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="diarsabri/LaDPR-query-encoder")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("diarsabri/LaDPR-query-encoder") model = AutoModel.from_pretrained("diarsabri/LaDPR-query-encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Diar commited on
Commit ·
600d109
1
Parent(s): 4d7ab93
re-trained again
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 1883805687
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:710243a121df0718f34d93998a40a523cf8e491db2a9151b4771f66d5cac3b56
|
| 3 |
size 1883805687
|