Instructions to use christinacdl/clickbait_binary_detection_DeBERTa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use christinacdl/clickbait_binary_detection_DeBERTa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="christinacdl/clickbait_binary_detection_DeBERTa")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("christinacdl/clickbait_binary_detection_DeBERTa") model = AutoModelForSequenceClassification.from_pretrained("christinacdl/clickbait_binary_detection_DeBERTa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
b911f28
1
Parent(s): 46d75ab
Training in progress, epoch 8
Browse files
logs/events.out.tfevents.1687468337.e3b85aa49c5f.5566.0
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:316d94b923ff0e0a9f4c6820b4a5df3bab4aaf37cd2fa68e634f196f4c14e024
|
| 3 |
+
size 21575
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1740396281
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:565241b34fd80216ca6ebb8c874e92cfe502da6c3995f7130f5f48224b3a8aae
|
| 3 |
size 1740396281
|