Instructions to use Denyol/FakeNews-deberta-large-stable with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Denyol/FakeNews-deberta-large-stable with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Denyol/FakeNews-deberta-large-stable")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Denyol/FakeNews-deberta-large-stable") model = AutoModelForSequenceClassification.from_pretrained("Denyol/FakeNews-deberta-large-stable", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 4
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1624907048
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6cafc4cd1d3a95a56737a8e2401ab132c14c1a78a7232820b74677af7e9de87c
|
| 3 |
size 1624907048
|
runs/Nov13_09-51-58_c7cf6f92677a/events.out.tfevents.1699869138.c7cf6f92677a.568.0
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 sha256:41c7057a0af5d2c640bee935cbe7966c139b9f1545c4f2f715102c104fb1d057
|
| 3 |
+
size 6640
|