Instructions to use tweettemposhift/hate-hate_balance_random0_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_balance_random0_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_balance_random0_seed2-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_balance_random0_seed2-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_balance_random0_seed2-roberta-base") - Notebooks
- Google Colab
- Kaggle
| {"test/eval_loss": 0.49649494886398315, "test/eval_f1": 0.6751592356687897, "test/eval_accuracy": 0.8614130434782609, "test/eval_runtime": 0.8564, "test/eval_samples_per_second": 429.689, "test/eval_steps_per_second": 53.711} |