Instructions to use Unggi/hate_speech_classifier_KcElectra with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Unggi/hate_speech_classifier_KcElectra with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Unggi/hate_speech_classifier_KcElectra")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Unggi/hate_speech_classifier_KcElectra") model = AutoModelForSequenceClassification.from_pretrained("Unggi/hate_speech_classifier_KcElectra") - 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 sha256:2601a5d9b58d08c4702ae5f0c18dba5d9fd3ee5c13a01645aded3b7bf8826a0e
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size 511141552
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