Instructions to use tweettemposhift/hate-hate_random1_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_random1_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_random1_seed2-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random1_seed2-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random1_seed2-roberta-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9df11ab64cec1ab5a11a7b070d27575b82474ce5c5743e5608658a9fc81cd8ce
- Size of remote file:
- 4.54 kB
- SHA256:
- 9ba45b9e48ef4870f89abf83785f494fc7a9c4c2b77f5907fcfd961576607a39
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