Instructions to use M47Labs/binary_classification_arabic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use M47Labs/binary_classification_arabic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="M47Labs/binary_classification_arabic")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("M47Labs/binary_classification_arabic") model = AutoModelForSequenceClassification.from_pretrained("M47Labs/binary_classification_arabic") - Notebooks
- Google Colab
- Kaggle
Commit ·
4be08ad
1
Parent(s): 2b8d9fb
Delete pytorch_model.bin
Browse files- pytorch_model.bin +0 -3
pytorch_model.bin
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:a98a93604b2b19405fc8eba4d92b9a4a9ed127fda023f1c62403a4b74258c586
|
| 3 |
-
size 442559661
|
|
|
|
|
|
|
|
|
|
|
|