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ggpt1006
/
tl-hate-bert

Text Classification
Transformers
Safetensors
Tagalog
roberta
text-embeddings-inference
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How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="ggpt1006/tl-hate-bert")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("ggpt1006/tl-hate-bert")
model = AutoModelForSequenceClassification.from_pretrained("ggpt1006/tl-hate-bert")
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Model Card

  • Task: Text Classification
  • Use Case: Hate Speech Detection
language: "tl"
tags:
  - "text-classification"
  - "hate-speech"
  - "nlp"
license: ""
model-index:
  - name: "default"
    task: "text-classification"
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Datasets used to train ggpt1006/tl-hate-bert