Instructions to use tweettemposhift/hate-hate_random0_seed0-bernice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/hate-hate_random0_seed0-bernice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/hate-hate_random0_seed0-bernice")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random0_seed0-bernice") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random0_seed0-bernice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7352f69d1697395c21baabf11cd5edcc678f868d26466ad8ec2f8f7a8c3898e9
- Size of remote file:
- 1.11 GB
- SHA256:
- 79f4379f4b4fe5b076ea261367ae71d442aae9755cd6fac6d08c9f19592f00c6
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