Instructions to use Jeevesh8/bert_ft_qqp_6ep-21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/bert_ft_qqp_6ep-21 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/bert_ft_qqp_6ep-21")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bert_ft_qqp_6ep-21") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bert_ft_qqp_6ep-21") - Notebooks
- Google Colab
- Kaggle
Added training logs
Browse files
events.out.tfevents.1679667167.gr046.hpc.nyu.edu
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b684199b11d872706596342e207afa1b9919f1c0fc4b63458b0f75ce5194c0a8
|
| 3 |
+
size 20169706
|