Instructions to use tweettemposhift/hate-hate_random3_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_random3_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_random3_seed2-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random3_seed2-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random3_seed2-roberta-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 31bca89d2332fcd799bfbdefbace3230e43a24adf6842faa2abba572dab97a64
- Size of remote file:
- 499 MB
- SHA256:
- d7032f1681fddc032e319deeab493fb8be72eefd9d00e8df73f0c1d9f0ddd8bc
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