Instructions to use tweettemposhift/hate-hate_temporal-bernice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/hate-hate_temporal-bernice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/hate-hate_temporal-bernice")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_temporal-bernice") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_temporal-bernice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f9b3dd66e4fad3258460e5f4fa6b12390ddb2280d2cb4be141bfa61f2427c606
- Size of remote file:
- 4.47 kB
- SHA256:
- ad0e04a930d6c6a33418fde126cf3e490bef0012a5ac4d94b3695ad810d1cbe0
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