Instructions to use jay0911/ae-detection-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jay0911/ae-detection-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jay0911/ae-detection-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jay0911/ae-detection-model") model = AutoModelForSequenceClassification.from_pretrained("jay0911/ae-detection-model") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 2847
Browse files- model.safetensors +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 433270768
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:162c41746edd65041a265c50fca235cc9dce322fc9b8d6ca2baa25dd3909cec6
|
| 3 |
size 433270768
|