Instructions to use tweettemposhift/hate-hate_temporal-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/hate-hate_temporal-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/hate-hate_temporal-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_temporal-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_temporal-roberta-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 444cf0d73afc52d694988c615a3716ce589192b7f9d80c5871d9a175e0c6fa42
- Size of remote file:
- 4.54 kB
- SHA256:
- 3e7df24cbdb9e77ab82e47357ca138e8387433797fb63b2116aaac259e8facd7
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