Instructions to use d4data/bias-detection-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use d4data/bias-detection-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="d4data/bias-detection-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("d4data/bias-detection-model") model = AutoModelForSequenceClassification.from_pretrained("d4data/bias-detection-model") - Notebooks
- Google Colab
- Kaggle
deepak commited on
Commit ·
c8fe846
1
Parent(s): 8ce5e82
updated readme
Browse files
README.md
CHANGED
|
@@ -38,6 +38,6 @@ classifier("The irony, of course, is that the exhibit that invites people to thr
|
|
| 38 |
```
|
| 39 |
|
| 40 |
## Author
|
| 41 |
-
This model is part of the Research topic "Bias and Fairness in AI" conducted by
|
| 42 |
> Bias & Fairness in AI, (2020), GitHub repository, <https://github.com/dreji18/Fairness-in-AI/tree/dev>
|
| 43 |
|
|
|
|
| 38 |
```
|
| 39 |
|
| 40 |
## Author
|
| 41 |
+
This model is part of the Research topic "Bias and Fairness in AI" conducted by Deepak John Reji, Shaina Raza. If you use this work (code, model or dataset), please cite as:
|
| 42 |
> Bias & Fairness in AI, (2020), GitHub repository, <https://github.com/dreji18/Fairness-in-AI/tree/dev>
|
| 43 |
|