Instructions to use deepvk/deberta-v1-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepvk/deberta-v1-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="deepvk/deberta-v1-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("deepvk/deberta-v1-base") model = AutoModel.from_pretrained("deepvk/deberta-v1-base") - Notebooks
- Google Colab
- Kaggle
Commit ·
bdd30b0
1
Parent(s): 7b324fb
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (4ebfa38221aff1c2bfe5ed017a5c5c1ad87068ce)
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:447967b226960066af91b9ff742d1c97832278069e33dda130eafc172e54a12d
|
| 3 |
+
size 496196200
|