Instructions to use tweettemposhift/hate-hate_temporal-bernice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/hate-hate_temporal-bernice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/hate-hate_temporal-bernice")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_temporal-bernice") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_temporal-bernice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e823f7359810b268d8e0481d0b2e361988cfede38c6e126214d7dec14f12f991
- Size of remote file:
- 1.11 GB
- SHA256:
- 19a8135b385726b0daf6503507355bfae81fcae4a480b1ddefe1f11c003aa7fa
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