Instructions to use tweettemposhift/hate-hate_random3_seed2-bernice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/hate-hate_random3_seed2-bernice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/hate-hate_random3_seed2-bernice")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random3_seed2-bernice") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random3_seed2-bernice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3847c3965d523309f4288f1c9c87ec10665dd05bd40f7dafd291a1cb7eef0018
- Size of remote file:
- 1.11 GB
- SHA256:
- 0f5586cbb480f31a48de0f9cf1a51c180d8d8085af26b26017a55a6dd2a890cd
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