Instructions to use tweettemposhift/hate-hate_random0_seed2-bertweet-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-bertweet-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-bertweet-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random0_seed2-bertweet-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random0_seed2-bertweet-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ea9c0365bac63a1007f7a05e5a5e423ee57d182b26bdf314f3efa8339d60f3df
- Size of remote file:
- 540 MB
- SHA256:
- 36b712a7f710c1fe7c059a8fe1fd8ec4eea9f0e694ae634d76f469f611eb5377
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