Instructions to use tweettemposhift/hate-hate_random0_seed0-bertweet-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/hate-hate_random0_seed0-bertweet-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/hate-hate_random0_seed0-bertweet-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random0_seed0-bertweet-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random0_seed0-bertweet-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c4a521642f5639df5f3b11bcef66387897141fb2bc2da1fca1d5496bfdbe10f
- Size of remote file:
- 540 MB
- SHA256:
- e81bfce339abca54b8ad03a4ae8346e7d390598d2cec6dbd4116b24128a2be01
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