Instructions to use ShacklesLay/Deberta4task2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShacklesLay/Deberta4task2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ShacklesLay/Deberta4task2")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ShacklesLay/Deberta4task2") model = AutoModelForTokenClassification.from_pretrained("ShacklesLay/Deberta4task2") - 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 sha256:26dc0b78401eeced09e8ca97f323f1c7fe9504b0c2016a83134235ac54967618
|
| 3 |
+
size 1517227168
|