Instructions to use tweettemposhift/hate-hate_random3_seed1-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_seed1-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_seed1-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random3_seed1-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random3_seed1-roberta-base") - Notebooks
- Google Colab
- Kaggle
| {"test/eval_loss": 0.6763080954551697, "test/eval_f1": 0.5974025974025974, "test/eval_accuracy": 0.8328840970350404, "test/eval_runtime": 0.5843, "test/eval_samples_per_second": 634.999, "test/eval_steps_per_second": 80.445} |