Instructions to use tweettemposhift/topic-topic_random1_seed2-bertweet-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/topic-topic_random1_seed2-bertweet-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/topic-topic_random1_seed2-bertweet-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/topic-topic_random1_seed2-bertweet-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/topic-topic_random1_seed2-bertweet-base") - Notebooks
- Google Colab
- Kaggle
| {"test/eval_loss": 0.15586355328559875, "test/eval_f1": 0.6248756218905472, "test/eval_f1_macro": 0.18848333311687407, "test/eval_accuracy": 0.40572792362768495, "test/eval_runtime": 2.1349, "test/eval_samples_per_second": 196.266, "test/eval_steps_per_second": 12.647} |