Instructions to use tweettemposhift/hate-hate_random1_seed2-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_seed2-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_seed2-bertweet-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random1_seed2-bertweet-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random1_seed2-bertweet-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a5825776f96b458d8fda4993a60c669eae1731ac63bf286cf86c397d180b474
- Size of remote file:
- 4.54 kB
- SHA256:
- b29facb1c2db35959dd6449059e248216771cdcb59992ca329dd3b7e3863732a
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