Instructions to use EIStakovskii/french_toxicity_classifier_plus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EIStakovskii/french_toxicity_classifier_plus with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="EIStakovskii/french_toxicity_classifier_plus")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("EIStakovskii/french_toxicity_classifier_plus") model = AutoModelForSequenceClassification.from_pretrained("EIStakovskii/french_toxicity_classifier_plus") - Notebooks
- Google Colab
- Kaggle
Commit ·
376faae
1
Parent(s): 6e306f6
Update README.md
Browse files
README.md
CHANGED
|
@@ -9,7 +9,7 @@ widget:
|
|
| 9 |
|
| 10 |
license: other
|
| 11 |
---
|
| 12 |
-
This model was trained for toxicity labeling. Label_1 means TOXIC, Label_0 means
|
| 13 |
|
| 14 |
The model was fine-tuned based off the CamemBERT language model https://huggingface.co/camembert-base .
|
| 15 |
|
|
|
|
| 9 |
|
| 10 |
license: other
|
| 11 |
---
|
| 12 |
+
This model was trained for toxicity labeling. Label_1 means TOXIC, Label_0 means NOT TOXIC
|
| 13 |
|
| 14 |
The model was fine-tuned based off the CamemBERT language model https://huggingface.co/camembert-base .
|
| 15 |
|