Instructions to use tweettemposhift/hate-hate_temporal-bertweet-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/hate-hate_temporal-bertweet-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/hate-hate_temporal-bertweet-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_temporal-bertweet-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_temporal-bertweet-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db66a4f2f8487dd5d1070339989ccf05f4c1fdd4775e6bd1f159f4ddb1081c7d
- Size of remote file:
- 540 MB
- SHA256:
- b337ff88747af936d13f613754905754c980b1619fd55f804f3e62731596025f
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