Instructions to use tweettemposhift/hate-hate_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_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_temporal-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_temporal-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_temporal-roberta-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 532706aff62195a4f84b18db10e62f0b8102c9e96abb7b0ea73f074d287fd7f2
- Size of remote file:
- 499 MB
- SHA256:
- 4825acd4db310b30e732737255ee724b3059ce6022620033a5715fb9beb1b441
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