Instructions to use tweettemposhift/hate-hate_random1_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_random1_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_random1_seed0-bertweet-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random1_seed0-bertweet-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random1_seed0-bertweet-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 39907ae96897b5538fec2f628178a01a5dccf067364128a97697414a3e57b226
- Size of remote file:
- 540 MB
- SHA256:
- db89290fe9f6fa8eead7bd9d73a3274aec733ba38d2d0d431b599b8b3dfe6062
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