Instructions to use raj26000/deberta-base-siamese-feedback-arguments with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raj26000/deberta-base-siamese-feedback-arguments with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("raj26000/deberta-base-siamese-feedback-arguments") model = AutoModel.from_pretrained("raj26000/deberta-base-siamese-feedback-arguments", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bd78a2e0d14c3d756a272c980872dd282b62cf41855d83cc6dd21bc06a88d923
|
| 3 |
+
size 735384212
|