Instructions to use Haaaaeun/kobert_hatespeech with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Haaaaeun/kobert_hatespeech with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Haaaaeun/kobert_hatespeech")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Haaaaeun/kobert_hatespeech") model = AutoModel.from_pretrained("Haaaaeun/kobert_hatespeech", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
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:cffb1087f45c2578c5ab5799db5c38f4c19618cf4a0de61f81008ac8e1fc52db
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size 368781320
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