Instructions to use tweettemposhift/hate-hate_random0_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_random0_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_random0_seed2-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random0_seed2-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random0_seed2-roberta-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e864900f447a93cc796eac5dc9f34e9f5efabd71312afecc28b79b1aff9c016f
- Size of remote file:
- 4.54 kB
- SHA256:
- ad3ac7aac86938995dbb10b4df5e83d27e667e541c108eca72e4d90d832b2e01
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