Instructions to use tweettemposhift/hate-hate_random1_seed1-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/hate-hate_random1_seed1-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/hate-hate_random1_seed1-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random1_seed1-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random1_seed1-roberta-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 46c630fc39a11877f28e4918fc52bf648e9b1d5c2b547719a38aafb5e8a0ce96
- Size of remote file:
- 499 MB
- SHA256:
- 5617185d6f1cacb20af0aa26a3dcd04ecf0d1ab100584512c1cf46d3bfc2038f
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