Instructions to use baris-yazici/liar_binaryclassifier_distilbert_cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use baris-yazici/liar_binaryclassifier_distilbert_cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="baris-yazici/liar_binaryclassifier_distilbert_cased")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("baris-yazici/liar_binaryclassifier_distilbert_cased") model = AutoModelForSequenceClassification.from_pretrained("baris-yazici/liar_binaryclassifier_distilbert_cased") - 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 263144680
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bb9c3d89087a048ad196ff5e719fe7bc228e01b6f38f8d2c283f118b8620279e
|
| 3 |
size 263144680
|
runs/Apr14_09-26-01_e4ab448bb921/events.out.tfevents.1713086765.e4ab448bb921.1233.1
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:f5341e9e459492616889e965dd2b1ffc57cce8e7f1685dd6d0ec5cadf2767047
|
| 3 |
+
size 7078
|