Instructions to use tweettemposhift/hate-hate_random0_seed2-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/hate-hate_random0_seed2-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/hate-hate_random0_seed2-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random0_seed2-roberta-large") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random0_seed2-roberta-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 29e229b5909d8d52adff8066db8bbf68d4948b9106d501c1153342583da8f8be
- Size of remote file:
- 4.08 kB
- SHA256:
- e0e51e33710cfbb5802b6a83b2ab76a3925174ab935925d42fbaa3fd533363e4
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