Instructions to use connectivity/bert_ft_qqp-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use connectivity/bert_ft_qqp-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="connectivity/bert_ft_qqp-1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("connectivity/bert_ft_qqp-1") model = AutoModelForSequenceClassification.from_pretrained("connectivity/bert_ft_qqp-1") - Notebooks
- Google Colab
- Kaggle
Commit ·
7f0c924
1
Parent(s): 0ded680
Saving weights and logs of step 25000
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 438017325
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dd1f6ebabf0e8fe5c734d4a0d693e1e6b698557331fbc8d6fd8c479dda47a18b
|
| 3 |
size 438017325
|