Instructions to use connectivity/bert_ft_qqp-35 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use connectivity/bert_ft_qqp-35 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="connectivity/bert_ft_qqp-35")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("connectivity/bert_ft_qqp-35") model = AutoModelForSequenceClassification.from_pretrained("connectivity/bert_ft_qqp-35") - Notebooks
- Google Colab
- Kaggle
Commit ·
8e4e441
1
Parent(s): e155ed2
Saving weights and logs of step 20000
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 sha256:01f54e57be819e0bdf32be0c12b20cb8bee63273e8185225ec60f16783d34766
|
| 3 |
size 438017325
|