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:
- 8b953f15920e553081cd59b41dbac86350fc72ccd2c02127ea7b3e6f32268fe7
- Size of remote file:
- 4.54 kB
- SHA256:
- 9bc4af2bcbad64475ea9458f7f322d9f8734bec1f83b01e612fc63bb116e0bac
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