Instructions to use tweettemposhift/hate-hate_random2_seed0-bernice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/hate-hate_random2_seed0-bernice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/hate-hate_random2_seed0-bernice")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random2_seed0-bernice") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random2_seed0-bernice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 61d6f0753051c387d410a3abfcb9214bedd8e5b5c14ecb2a75d2786f2f0f7d14
- Size of remote file:
- 4.54 kB
- SHA256:
- 94b72229cd21bf98e4f82b936247a512e3068058bb9b0b53a0a5a22b9c705296
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