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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 21
Browse files
logs/events.out.tfevents.1657779542.2b90a4db4b03.8997.6
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:f065ea9a82cdeddf683510b1bc85e2305f41e769e03fb8b767a464c3cf4f090b
|
| 3 |
+
size 14100
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 57430535
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:eb351a577ffa4040dd21ba8b472aabcf83dce04c6c45dc080c2535c52a15a282
|
| 3 |
size 57430535
|