Instructions to use HasinMDG/Deberta-Large-v3-backbone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HasinMDG/Deberta-Large-v3-backbone with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HasinMDG/Deberta-Large-v3-backbone")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HasinMDG/Deberta-Large-v3-backbone") model = AutoModelForSequenceClassification.from_pretrained("HasinMDG/Deberta-Large-v3-backbone") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
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:db6b4fc9f0c0040a2474897af4cde8a9ffb75eba5580ba7723e12762a94c5894
|
| 3 |
+
size 1740308548
|