Text Classification
Transformers
PyTorch
English
bert
BERTicelli
text classification
abusive language
hate speech
offensive language
Instructions to use patrickquick/BERTicelli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use patrickquick/BERTicelli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="patrickquick/BERTicelli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("patrickquick/BERTicelli") model = AutoModelForSequenceClassification.from_pretrained("patrickquick/BERTicelli") - Notebooks
- Google Colab
- Kaggle
Commit ·
00701d0
1
Parent(s): e0c71e5
Update README.md
Browse files
README.md
CHANGED
|
@@ -8,10 +8,7 @@ tags:
|
|
| 8 |
- abusive language
|
| 9 |
- hate speech
|
| 10 |
- offensive language
|
| 11 |
-
license: apache-2.0
|
| 12 |
datasets:
|
| 13 |
-
- bookcorpus
|
| 14 |
-
- wikipedia
|
| 15 |
- OLID v1.0
|
| 16 |
---
|
| 17 |
|
|
|
|
| 8 |
- abusive language
|
| 9 |
- hate speech
|
| 10 |
- offensive language
|
|
|
|
| 11 |
datasets:
|
|
|
|
|
|
|
| 12 |
- OLID v1.0
|
| 13 |
---
|
| 14 |
|