Instructions to use tweettemposhift/hate-hate_random3_seed2-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/hate-hate_random3_seed2-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/hate-hate_random3_seed2-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random3_seed2-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random3_seed2-roberta-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5bd49cd613a7c82fb91c91c6c571244f8457d4f614bc3c0878b6691f9d68d9a9
- Size of remote file:
- 4.54 kB
- SHA256:
- f027eafb1617684b44a5f937d819c523be29e2d211e80bb7cc72aafbcf11d003
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