Instructions to use cssupport/mobilebert-sql-injection-detect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cssupport/mobilebert-sql-injection-detect with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cssupport/mobilebert-sql-injection-detect")# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("cssupport/mobilebert-sql-injection-detect") model = AutoModelForPreTraining.from_pretrained("cssupport/mobilebert-sql-injection-detect") - Notebooks
- Google Colab
- Kaggle
added bin file
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:142583dea56c196ffb62420bb358f39a1dfd67fcc7a971dabdc8bc694bea5306
|
| 3 |
+
size 98801535
|