Instructions to use tweettemposhift/topic-topic_random1_seed2-bernice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/topic-topic_random1_seed2-bernice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/topic-topic_random1_seed2-bernice")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/topic-topic_random1_seed2-bernice") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/topic-topic_random1_seed2-bernice") - Notebooks
- Google Colab
- Kaggle
| {"test/eval_loss": 0.15536287426948547, "test/eval_f1": 0.6224899598393575, "test/eval_f1_macro": 0.18961921542344395, "test/eval_accuracy": 0.4105011933174224, "test/eval_runtime": 1.1828, "test/eval_samples_per_second": 354.245, "test/eval_steps_per_second": 44.809} |