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 9
Browse files
logs/events.out.tfevents.1692629235.48f07d246700
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:e7571bae2e151a5dcec8db9b04289dfe75bc36858c1c9129713f8e9470645a0a
|
| 3 |
+
size 8298
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 440373249
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4b46763110795b9e7ccff4994ea42fd635c7f1540ca5fbde529d9ac8e92f249a
|
| 3 |
size 440373249
|