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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 14
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 sha256:7914fb5e297178bcf3dcd99bb4bf0a68324c22b013a3eef1d385e96b8475816c
|
| 3 |
+
size 10553
|
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:daf37065a146078cb3c76cc877823b018524112bffd0c350bdfd51181e020ff5
|
| 3 |
size 381283757
|