Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use DL-Project/hatespeech_distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DL-Project/hatespeech_distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DL-Project/hatespeech_distilbert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DL-Project/hatespeech_distilbert") model = AutoModelForSequenceClassification.from_pretrained("DL-Project/hatespeech_distilbert") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -14,7 +14,7 @@ model-index:
|
|
| 14 |
widget:
|
| 15 |
- text: "Democrats using African-Americans again."
|
| 16 |
example_title: "Non-Hate Speech Example"
|
| 17 |
-
- text: "Holy fuck this girl
|
| 18 |
example_title: "Hate Speech Example"
|
| 19 |
---
|
| 20 |
|
|
|
|
| 14 |
widget:
|
| 15 |
- text: "Democrats using African-Americans again."
|
| 16 |
example_title: "Non-Hate Speech Example"
|
| 17 |
+
- text: "Holy fuck this girl's trash, what a cunt."
|
| 18 |
example_title: "Hate Speech Example"
|
| 19 |
---
|
| 20 |
|