Instructions to use tweettemposhift/hate-hate_random3_seed1-bernice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/hate-hate_random3_seed1-bernice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/hate-hate_random3_seed1-bernice")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random3_seed1-bernice") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random3_seed1-bernice") - Notebooks
- Google Colab
- Kaggle
| {"test/eval_loss": 0.5139402151107788, "test/eval_f1": 0.625, "test/eval_accuracy": 0.8544474393530997, "test/eval_runtime": 0.5947, "test/eval_samples_per_second": 623.885, "test/eval_steps_per_second": 79.037} |