Instructions to use tweettemposhift/hate-hate_random2_seed2-bernice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/hate-hate_random2_seed2-bernice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/hate-hate_random2_seed2-bernice")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random2_seed2-bernice") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random2_seed2-bernice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f5fab812d310115c3af3d33627fc058f0f773dff04d3d87e9a472e32cabc6d8d
- Size of remote file:
- 4.54 kB
- SHA256:
- 277cdd8053ca7e93bd1df543b75f575221e0eb7771e3abe22c7d66d318923a76
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