Instructions to use tweettemposhift/hate-hate_random0_seed0-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/hate-hate_random0_seed0-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/hate-hate_random0_seed0-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random0_seed0-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random0_seed0-roberta-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc2b1ab843273586daebdc709a3bf8dd00ec69e7d0b4d0081c540fb5aab28255
- Size of remote file:
- 499 MB
- SHA256:
- cbc2e5e7aebba38da0a2ef8bc66e1b2f3c0e7f3bd5159850832a776b5d3024b6
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