Instructions to use Sayan01/tiny-bert-cola-distilled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sayan01/tiny-bert-cola-distilled with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sayan01/tiny-bert-cola-distilled")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sayan01/tiny-bert-cola-distilled") model = AutoModelForSequenceClassification.from_pretrained("Sayan01/tiny-bert-cola-distilled") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 10
Browse files
logs/events.out.tfevents.1655797971.600857e4b2da.76.2
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:f68facce004f667b7aaec21b6433d04bfe1f5d801fd4d91160fb63eea9fc6442
|
| 3 |
+
size 8479
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 38383463
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0c398ebb8e1d91d81df86691bfb0a552ef44e6d4e0a8dec685c7ffa38b417f3d
|
| 3 |
size 38383463
|