Instructions to use cardiffnlp/twitter-roberta-base-hate-multiclass-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-multiclass-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-multiclass-latest")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cardiffnlp/twitter-roberta-base-hate-multiclass-latest") model = AutoModelForSequenceClassification.from_pretrained("cardiffnlp/twitter-roberta-base-hate-multiclass-latest", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- de95070021cbe6b5fdf9abf1799f6a2d8d896473543d6da59f44bf085b9eb44c
- Size of remote file:
- 499 MB
- SHA256:
- 55e90580c914990a8c4ee0f09e9c9524449c4af2c0433f5220d7675b562bfc63
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