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
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README.md
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license: mit
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license: mit
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datasets:
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- tarudesu/VOZ-HSD
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- google/civil_comments
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language:
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- vi
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- en
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metrics:
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- accuracy
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- f1
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base_model:
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- distilbert/distilbert-base-multilingual-cased
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pipeline_tag: text-classification
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library_name: transformers
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---
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