Instructions to use Snoopy2k8/NLPcourse-bert-finetuned-mrpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Snoopy2k8/NLPcourse-bert-finetuned-mrpc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Snoopy2k8/NLPcourse-bert-finetuned-mrpc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Snoopy2k8/NLPcourse-bert-finetuned-mrpc") model = AutoModelForSequenceClassification.from_pretrained("Snoopy2k8/NLPcourse-bert-finetuned-mrpc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 437958648
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:60a70bd8acb05bebcf4a08f94ef21f115b97dddfd09b344d5018a8721f251b5f
|
| 3 |
size 437958648
|
runs/Jan14_19-30-13_909146d2b4c8/events.out.tfevents.1736883015.909146d2b4c8.12744.0
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 sha256:85a6769d82727e12a2bcb5f19b4f32eb894bb8de3c0d1dd096613a5d4b0a5b3f
|
| 3 |
+
size 6036
|