Instructions to use connectivity/bert_ft_qqp-27 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use connectivity/bert_ft_qqp-27 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="connectivity/bert_ft_qqp-27")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("connectivity/bert_ft_qqp-27") model = AutoModelForSequenceClassification.from_pretrained("connectivity/bert_ft_qqp-27") - Notebooks
- Google Colab
- Kaggle
Commit ·
66e3cd4
1
Parent(s): 69e74a0
Added training logs
Browse files
events.out.tfevents.1651943065.gr042.hpc.nyu.edu
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6bb2d20a49ba95e00184d680979ea7362c4c18f5a1ebd4017d3df1e74baf89b3
|
| 3 |
+
size 16498988
|