mashironotdev
/

thai-toxic-classifier

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 library_name: transformers
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 ---
+language:
+- th
 library_name: transformers
+pipeline_tag: text-classification
+tags:
+- thai
+- toxicity-detection
+- hate-speech
+- nlp
+- text-classification
+datasets:
+- SEACrowd/thai_toxicity_tweet
+metrics:
+- accuracy
+- f1
+model-index:
+- name: thai-toxic-classifier
+  results: []
 ---
+# Thai Toxic Classifier 🇹🇭
+A Thai language toxicity detection model trained to classify whether a Thai sentence is **toxic** or **non-toxic**.
+The model is intended for research and experimentation in **Thai NLP safety, moderation systems, and toxicity analysis**.
+Repository:
+https://huggingface.co/mashironotdev/thai-toxic-classifier
+---
+# Model Details
+## Model Description
+This model performs **binary text classification** on Thai text:
+| Label | Meaning |
+|-----|-----|
+| 0 | non-toxic |
+| 1 | toxic |
+Example:
+| Text | Prediction |
+|-----|-----|
+| สวัสดีครับ | non-toxic |
+| ขอบคุณมากครับ | non-toxic |
+| มึงโง่หรือไง | toxic |
+| ไอ้ควาย | toxic |
+---
+## Intended Use
+This model is designed for:
+- Thai toxicity detection research
+- content moderation experiments
+- NLP benchmarking
+- Thai language safety evaluation
+Possible downstream uses:
+- chat moderation
+- comment filtering
+- social media toxicity analysis
+---
+## Out-of-Scope Use
+This model **should not be used for:**
+- legal moderation decisions
+- automated punishment systems
+- sensitive content governance without human oversight
+---
+# Training Data
+The model was trained on Thai toxicity datasets including:
+- Thai Toxicity Tweet dataset
+- synthetic toxic Thai sentences
+- Thai profanity word lists
+The dataset contains Thai sentences labeled as **toxic** or **non-toxic**.
+---
+# Training Procedure
+## Preprocessing
+Typical preprocessing steps:
+- Thai text normalization
+- tokenization using the model tokenizer
+- padding and truncation
+---
+## Training Configuration
+Example configuration: