Instructions to use tweettemposhift/hate-hate_balance_random2_seed2-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/hate-hate_balance_random2_seed2-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/hate-hate_balance_random2_seed2-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_balance_random2_seed2-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_balance_random2_seed2-roberta-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 744951cb1db30faa93ef50d38246360a6807ec9a6bace04cb7512356d57c2e97
- Size of remote file:
- 4.54 kB
- SHA256:
- 29823d1ab28f8e5eefe5ac8304ddaa3bb4ac91dac3c8423aa1a81a385743c44e
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