Instructions to use tweettemposhift/hate-hate_random3_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_random3_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_random3_seed2-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random3_seed2-roberta-large") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random3_seed2-roberta-large") - Notebooks
- Google Colab
- Kaggle
| {"test/eval_loss": 0.3513161838054657, "test/eval_f1": 0.6622516556291391, "test/eval_accuracy": 0.862533692722372, "test/eval_runtime": 1.5387, "test/eval_samples_per_second": 241.106, "test/eval_steps_per_second": 30.544} |