Instructions to use bthomas279/scam-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bthomas279/scam-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bthomas279/scam-detector")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bthomas279/scam-detector") model = AutoModelForSequenceClassification.from_pretrained("bthomas279/scam-detector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
3 days ago
-
Update README.md
Verified signaturef93ca68
8 days ago
-
Update README.md
Verified signature84f4d3d -
Update README.md
Verified signature4f32c33 -
Update README.md
Verified signature58b4f4f
11 days ago
-
Update README.md
Verified signature0c68ec9
12 days ago
-
Update README.md
Verified signature40d7f04 -
Update README.md
Verified signatureef08c72 -
Update README.md
Verified signature68dba72 -
Create README.md
Verified signatureae62ae1