Instructions to use tweettemposhift/hate-hate_random3_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_random3_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_random3_seed0-bertweet-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random3_seed0-bertweet-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random3_seed0-bertweet-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 43283fa8d32140616389b52b1f02d849ff7fa72395a4f6c2a0e173330f219439
- Size of remote file:
- 4.54 kB
- SHA256:
- 0e1e44656153ab17e73b07ff91f804e68a919450f3656a30653be3142fcd612c
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