Instructions to use cardiffnlp/twitter-roberta-base-hate-latest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cardiffnlp/twitter-roberta-base-hate-latest with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cardiffnlp/twitter-roberta-base-hate-latest")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cardiffnlp/twitter-roberta-base-hate-latest") model = AutoModelForSequenceClassification.from_pretrained("cardiffnlp/twitter-roberta-base-hate-latest", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7874d1ab5e845afc836a3d0895161f1709c5e70315f70bddb809790ae2a7829d
- Size of remote file:
- 499 MB
- SHA256:
- f371f1858c51b8ab2e37a767bbd6eaf288e62fdfb656d22cc1b833916ff8237c
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