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:
- 70cdd81529b93df643d5a324d921a637f2dc8926691e7fcdf3f5cebd3f138b58
- Size of remote file:
- 499 MB
- SHA256:
- aa584f608080d4178afb53ed780b25576adaf6c6f44e565c3e1e125ea3b6d0e7
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