Instructions to use connectivity/bert_ft_qqp-38 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use connectivity/bert_ft_qqp-38 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="connectivity/bert_ft_qqp-38")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("connectivity/bert_ft_qqp-38") model = AutoModelForSequenceClassification.from_pretrained("connectivity/bert_ft_qqp-38") - Notebooks
- Google Colab
- Kaggle
Commit ·
0116e81
1
Parent(s): 9ab4805
Added training logs
Browse files
events.out.tfevents.1651964717.gr035.hpc.nyu.edu
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fa7f1159f4491a2a2d38bde5203e3e0fca1a26e9b02903002878e39a958974c5
|
| 3 |
+
size 16498988
|