Instructions to use Falconsai/offensive_speech_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Falconsai/offensive_speech_detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Falconsai/offensive_speech_detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Falconsai/offensive_speech_detection") model = AutoModelForSequenceClassification.from_pretrained("Falconsai/offensive_speech_detection") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -5,9 +5,9 @@ language:
|
|
| 5 |
- en
|
| 6 |
widget:
|
| 7 |
- text: "I think this is great."
|
| 8 |
-
example_title:
|
| 9 |
- text: "You are awful"
|
| 10 |
-
example_title:
|
| 11 |
---
|
| 12 |
# Model Card: Fine-Tuned DistilBERT for Offensive/Hate Speech Detection
|
| 13 |
|
|
|
|
| 5 |
- en
|
| 6 |
widget:
|
| 7 |
- text: "I think this is great."
|
| 8 |
+
example_title: Example 1
|
| 9 |
- text: "You are awful"
|
| 10 |
+
example_title: Example 2
|
| 11 |
---
|
| 12 |
# Model Card: Fine-Tuned DistilBERT for Offensive/Hate Speech Detection
|
| 13 |
|