Instructions to use tweettemposhift/hate-hate_random3_seed0-bernice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/hate-hate_random3_seed0-bernice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/hate-hate_random3_seed0-bernice")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random3_seed0-bernice") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random3_seed0-bernice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cd6ce9fa7bb02c264e5fd00aef2d5a2b284b049d15c86806eb73a9b1ef791d20
- Size of remote file:
- 1.11 GB
- SHA256:
- f6c092180ee7e847594e358cd3e31395af43ad49912022ab4300ca0c3e4e2858
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