Instructions to use cardiffnlp/roberta-base-hate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cardiffnlp/roberta-base-hate with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cardiffnlp/roberta-base-hate")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cardiffnlp/roberta-base-hate") model = AutoModelForSequenceClassification.from_pretrained("cardiffnlp/roberta-base-hate", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download best_run_hyperparameters.json from cardiffnlp/roberta-base-hate: direct link, hf CLI and curl.
- Browser
- Download file 97 Bytes
-
https://huggingface.co/cardiffnlp/roberta-base-hate/resolve/main/best_run_hyperparameters.json
- Command line
-
hf download hf://cardiffnlp/roberta-base-hate/best_run_hyperparameters.json
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curl -L -o best_run_hyperparameters.json https://huggingface.co/cardiffnlp/roberta-base-hate/resolve/main/best_run_hyperparameters.json
97 Bytes
| {"learning_rate": 5.61151641533451e-06, "num_train_epochs": 5, "per_device_train_batch_size": 32} |