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:
- df6536984a4cda6b57b2bf090c3344da0f78a9941e268e210c6831176faca13a
- Size of remote file:
- 4.54 kB
- SHA256:
- 2587977cdb539d3819b6c53df219f18a1b1e24734891b445bd48ec1f8070de07
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