Text Classification
Transformers
TensorFlow
English
distilbert
generated_from_keras_callback
text-embeddings-inference
Instructions to use ZachBeesley/toxic-comments with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZachBeesley/toxic-comments with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ZachBeesley/toxic-comments")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ZachBeesley/toxic-comments") model = AutoModelForSequenceClassification.from_pretrained("ZachBeesley/toxic-comments") - Notebooks
- Google Colab
- Kaggle
Commit ·
9d6c3df
1
Parent(s): 53bf7f6
Update README.md
Browse files
README.md
CHANGED
|
@@ -27,7 +27,7 @@ It achieves the following results on the evaluation set:
|
|
| 27 |
|
| 28 |
## Model description
|
| 29 |
|
| 30 |
-
|
| 31 |
|
| 32 |
## Intended uses & limitations
|
| 33 |
|
|
|
|
| 27 |
|
| 28 |
## Model description
|
| 29 |
|
| 30 |
+
Text-classification model that can classify whether a piece of text is toxic or not
|
| 31 |
|
| 32 |
## Intended uses & limitations
|
| 33 |
|