Instructions to use tweettemposhift/hate-hate_random1_seed2-bernice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/hate-hate_random1_seed2-bernice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/hate-hate_random1_seed2-bernice")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random1_seed2-bernice") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random1_seed2-bernice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb6c19a11c77f26d0f55754afcc1b08182793e252ec6230f249370661213b9fa
- Size of remote file:
- 1.11 GB
- SHA256:
- d3b18e41fbfb45d0d0c3a9fbccde5f7ca31bf7305d381255c51dfaef4e4433f5
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