Instructions to use p3ngdump/koelectra-hate-speech-notitle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use p3ngdump/koelectra-hate-speech-notitle with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="p3ngdump/koelectra-hate-speech-notitle")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("p3ngdump/koelectra-hate-speech-notitle") model = AutoModelForSequenceClassification.from_pretrained("p3ngdump/koelectra-hate-speech-notitle") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f62765d748f6b428cee157ce2f42a372417f790353bc859be41e4687abb5d571
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size 451718748
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