Instructions to use dima806/phishing-email-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dima806/phishing-email-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dima806/phishing-email-detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dima806/phishing-email-detection") model = AutoModelForSequenceClassification.from_pretrained("dima806/phishing-email-detection") - Notebooks
- Google Colab
- Kaggle
Commit ·
ee3263b
1
Parent(s): bf22356
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (25a20d8fa7be8306d7a954f41c8b0ad8697a6e80)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:45bb5e5608370c51e63ef9120627515093b1ef4d7cd6693e54301a894a2d910c
|
| 3 |
+
size 263144680
|