Hugging Face's logo

bpHigh
/
Setfit-FakeNews-en

Text Classification
sentence-transformers
PyTorch
setfit
bert
Model card Files Community
bpHigh commited on
Commit
789faee
•
1 Parent(s): a48c595

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +1 -1
README.md CHANGED
@@ -28,7 +28,7 @@ You can then run inference as follows:
28
  from setfit import SetFitModel
29
 
30
  # Download from Hub and run inference
31
- model = SetFitModel.from_pretrained("/content/drive/MyDrive/fatima_code_challenge/setfit-fake-news-detection-en")
32
  # Run inference
33
  preds = model(["i loved the spiderman movie!", "pineapple on pizza is the worst 🤮"])
34
  ```
 
28
  from setfit import SetFitModel
29
 
30
  # Download from Hub and run inference
31
+ model = SetFitModel.from_pretrained("bpHigh/Setfit-FakeNews-en")
32
  # Run inference
33
  preds = model(["i loved the spiderman movie!", "pineapple on pizza is the worst 🤮"])
34
  ```