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:
- 974e11b98adb77fdcd067fc1466f45e6713e177b10320c2fec44088b7b51704a
- Size of remote file:
- 4.54 kB
- SHA256:
- d813d941e1568276a588bdb0dc83ae02bd6af16cbd28aa0139e8875654210933
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