Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use vishalk4u/liar_binaryclassifier_roberta_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vishalk4u/liar_binaryclassifier_roberta_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vishalk4u/liar_binaryclassifier_roberta_base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vishalk4u/liar_binaryclassifier_roberta_base") model = AutoModelForSequenceClassification.from_pretrained("vishalk4u/liar_binaryclassifier_roberta_base") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 498612824
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:07b41158ed2903b89aff8fcb8c5df0a7c65937ec55e09ef466f1ac38c0eed02f
|
| 3 |
size 498612824
|
runs/Apr13_21-49-01_c334426b94b2/events.out.tfevents.1713044943.c334426b94b2.4998.0
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:f94bec294347cc41ff30eafc46ab16458ce613710c1dd4cd53fa27c56b3672e1
|
| 3 |
+
size 6097
|