Instructions to use Jeevesh8/6ep_bert_ft_cola-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/6ep_bert_ft_cola-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/6ep_bert_ft_cola-1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/6ep_bert_ft_cola-1") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/6ep_bert_ft_cola-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Added training logs
Browse files
events.out.tfevents.1652459895.gv009.hpc.nyu.edu
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:04854a7f47ef79794929e225a614d23554a8544e4cdbbc9fee31ccaf25955ce0
|
| 3 |
+
size 13035296
|