Instructions to use NathanZhu/GabHateCorpusTrained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NathanZhu/GabHateCorpusTrained with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NathanZhu/GabHateCorpusTrained")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NathanZhu/GabHateCorpusTrained") model = AutoModelForSequenceClassification.from_pretrained("NathanZhu/GabHateCorpusTrained", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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upload flax model
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allow flax
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Created README
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First version of GabHateCorpus
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initial commit
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