Instructions to use Sayan01/DBERT2_sst2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sayan01/DBERT2_sst2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sayan01/DBERT2_sst2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sayan01/DBERT2_sst2") model = AutoModelForSequenceClassification.from_pretrained("Sayan01/DBERT2_sst2") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 20
Browse files
logs/events.out.tfevents.1684436236.61439707e01a
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 sha256:90943ffa361561baed0548b4ddeaaee10d494225e6cfe216ee27ebe9107fcef7
|
| 3 |
+
size 13472
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 381283757
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:03d06da6259c61fdf0419d1eda56a88470525c1c85f41cf7b29901c340122078
|
| 3 |
size 381283757
|