Text Classification
Transformers
Safetensors
Vietnamese
English
distilbert
text-embeddings-inference
Instructions to use ki4n-4nt/toxic_text_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ki4n-4nt/toxic_text_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ki4n-4nt/toxic_text_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ki4n-4nt/toxic_text_classifier") model = AutoModelForSequenceClassification.from_pretrained("ki4n-4nt/toxic_text_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
metadata
license: mit
datasets:
- tarudesu/VOZ-HSD
- google/civil_comments
language:
- vi
- en
metrics:
- accuracy
- f1
base_model:
- distilbert/distilbert-base-multilingual-cased
pipeline_tag: text-classification
library_name: transformers