Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Sphere-Fall2022/nima-test-bert-glue with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sphere-Fall2022/nima-test-bert-glue with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sphere-Fall2022/nima-test-bert-glue")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sphere-Fall2022/nima-test-bert-glue") model = AutoModelForSequenceClassification.from_pretrained("Sphere-Fall2022/nima-test-bert-glue") - Notebooks
- Google Colab
- Kaggle
Nima Boscarino commited on
Commit ·
e4741a1
1
Parent(s): d6db813
End of training
Browse files
runs/Sep21_07-56-13_024064d00a3a/events.out.tfevents.1663747448.024064d00a3a.1174.2
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a8836fdfabc413702f2e49f25c6629e19413ffaf9272c9e22707ed9e4ddfc93f
|
| 3 |
+
size 4321
|