Instructions to use augustinLib/test_upload with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use augustinLib/test_upload with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="augustinLib/test_upload")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("augustinLib/test_upload") model = AutoModelForSequenceClassification.from_pretrained("augustinLib/test_upload") - Notebooks
- Google Colab
- Kaggle
Commit ·
94ad50d
1
Parent(s): 145334c
Training in progress, epoch 5
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 438031598
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:862b753b80c9791c7ee191b38bdf0183e5b0c2c219ba91e68b0ce6baa36a2cb3
|
| 3 |
size 438031598
|