Instructions to use tweettemposhift/hate-hate_random0_seed2-bernice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/hate-hate_random0_seed2-bernice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/hate-hate_random0_seed2-bernice")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random0_seed2-bernice") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random0_seed2-bernice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e7e7499079e7285d7d36e07fb94082ca02620392ef95124d861bfa2d583f98e9
- Size of remote file:
- 1.11 GB
- SHA256:
- ec92a1b5da09d5eb635e6a32a35c01b4fc5551a95dc2d6535bbcc7a15458693f
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