Instructions to use tweettemposhift/hate-hate_random2_seed2-bernice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/hate-hate_random2_seed2-bernice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/hate-hate_random2_seed2-bernice")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random2_seed2-bernice") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random2_seed2-bernice") - Notebooks
- Google Colab
- Kaggle
File size: 224 Bytes
d3d1de6 | 1 | {"test/eval_loss": 0.2728578448295593, "test/eval_f1": 0.7058823529411764, "test/eval_accuracy": 0.8913043478260869, "test/eval_runtime": 0.5805, "test/eval_samples_per_second": 633.977, "test/eval_steps_per_second": 79.247} |