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:
- e2b5313bb386967047d9370c434fc5b663f0950415bca2cc0b3369050c8bbf8f
- Size of remote file:
- 4.54 kB
- SHA256:
- db4361e501990ff8565b7d9f7f723c5b9170beaaf186899bd6316b4c8df5e20d
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