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:
- 0246d318f537a0b21e4db34c6111b44c89c17d872d0a0e11509bdb74fd04455d
- Size of remote file:
- 4.54 kB
- SHA256:
- 7b8164a0fdf5add3634ddb120c727e68126ad0f49eda76c2f364bd8a4af4131c
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