Instructions to use tweettemposhift/hate-hate_random2_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_random2_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_random2_seed0-bertweet-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random2_seed0-bertweet-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random2_seed0-bertweet-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e7b5e11c01239e24e836758ad4936edc48dedff8b939136a85bab193e7bc67f
- Size of remote file:
- 4.54 kB
- SHA256:
- e24dbba6aadcad9b0a41cccb9fdfd2c1b3e55e4f9c04b98998406055eef23171
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