Instructions to use tweettemposhift/hate-hate_random1_seed2-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/hate-hate_random1_seed2-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/hate-hate_random1_seed2-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random1_seed2-roberta-large") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random1_seed2-roberta-large") - Notebooks
- Google Colab
- Kaggle
| {"test/eval_loss": 0.4032675325870514, "test/eval_f1": 0.6564885496183206, "test/eval_accuracy": 0.8777173913043478, "test/eval_runtime": 1.506, "test/eval_samples_per_second": 244.355, "test/eval_steps_per_second": 30.544} |