Instructions to use tweettemposhift/hate-hate_random1_seed2-bernice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/hate-hate_random1_seed2-bernice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/hate-hate_random1_seed2-bernice")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random1_seed2-bernice") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random1_seed2-bernice") - Notebooks
- Google Colab
- Kaggle
| {"test/eval_loss": 0.4067830741405487, "test/eval_f1": 0.7401574803149605, "test/eval_accuracy": 0.9103260869565217, "test/eval_runtime": 0.5858, "test/eval_samples_per_second": 628.167, "test/eval_steps_per_second": 78.521} |