Instructions to use tweettemposhift/hate-hate_random0_seed1-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_seed1-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_seed1-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random0_seed1-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random0_seed1-roberta-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 221f55c3630529cfe4a210a47ead24f457823823a3154fd2e96262b0c7f8f344
- Size of remote file:
- 499 MB
- SHA256:
- 166852f1cdda17006e2cfa6fb0249bec76db2f5b6a2b5703a967960a49d8796d
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