Instructions to use tweettemposhift/hate-hate_random0_seed2-bernice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/hate-hate_random0_seed2-bernice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/hate-hate_random0_seed2-bernice")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random0_seed2-bernice") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random0_seed2-bernice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d0a5507986296fb8a49a1480689ee021317b6944f13ede98b1003efc69ad208
- Size of remote file:
- 4.54 kB
- SHA256:
- fd12429d8a8816d29605a5861b4a934f63216c26e1901d13d8aae472a4cbc3c1
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