Instructions to use tweettemposhift/topic-topic_random2_seed1-bernice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/topic-topic_random2_seed1-bernice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/topic-topic_random2_seed1-bernice")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/topic-topic_random2_seed1-bernice") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/topic-topic_random2_seed1-bernice") - Notebooks
- Google Colab
- Kaggle
| {"test/eval_loss": 0.11460155248641968, "test/eval_f1": 0.7132987910189982, "test/eval_f1_macro": 0.43953738244546803, "test/eval_accuracy": 0.4916467780429594, "test/eval_runtime": 1.1555, "test/eval_samples_per_second": 362.625, "test/eval_steps_per_second": 45.869} |