Instructions to use tweettemposhift/hate-hate_balance_temporal-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/hate-hate_balance_temporal-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/hate-hate_balance_temporal-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_balance_temporal-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_balance_temporal-roberta-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7f04dd3a6e8112d1c091d789c9dabbdf9be8ba683efec948a1b9831dacc394d5
- Size of remote file:
- 499 MB
- SHA256:
- abf5af3a97e922eb30a29978edad95d3f3d71f09917ae35b873a347646ad2056
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