Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use fe2plus/bert-fine-tuned-cola with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fe2plus/bert-fine-tuned-cola with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="fe2plus/bert-fine-tuned-cola")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("fe2plus/bert-fine-tuned-cola") model = AutoModelForSequenceClassification.from_pretrained("fe2plus/bert-fine-tuned-cola") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
runs/Mar13_13-28-35_a789c3dd7660/events.out.tfevents.1678714462.a789c3dd7660.419.0
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 sha256:252aa98067952d73e412adb5fc3157bddf3f77034a7187fb5df2325d6020a2e8
|
| 3 |
+
size 6111
|