Instructions to use tweettemposhift/hate-hate_random0_seed1-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_seed1-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_seed1-bertweet-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random0_seed1-bertweet-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random0_seed1-bertweet-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e9bf865643c0fb64b15f1dd48d7c378425d9ddf0bd9bc3d79975d916a85f5024
- Size of remote file:
- 540 MB
- SHA256:
- 7974a9565d5dc096e60c600be24931dcf88f2d432a07957e8844895c20114b94
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