Instructions to use ctoraman/hate-speech-berturk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ctoraman/hate-speech-berturk with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ctoraman/hate-speech-berturk")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ctoraman/hate-speech-berturk") model = AutoModelForSequenceClassification.from_pretrained("ctoraman/hate-speech-berturk") - 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 sha256:3acda109d486f20856d552ddbc6c9d813492221aad28ae9c739dba47cf806ecc
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size 442506332
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