Instructions to use Sayan01/Bert-mrpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sayan01/Bert-mrpc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sayan01/Bert-mrpc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sayan01/Bert-mrpc") model = AutoModelForSequenceClassification.from_pretrained("Sayan01/Bert-mrpc") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files
logs/events.out.tfevents.1692626764.48f07d246700
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:037cf829ac1fe9ce77d65b36caa7628736554af8866df66417b561f1f0888460
|
| 3 |
+
size 4097
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 438003505
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ac21a21c31cfdd778bd83dc7fb6e51a5ba8093e4b403ea47bd64f67a37125745
|
| 3 |
size 438003505
|