Instructions to use tweettemposhift/topic-topic_random2_seed1-bertweet-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/topic-topic_random2_seed1-bertweet-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/topic-topic_random2_seed1-bertweet-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/topic-topic_random2_seed1-bertweet-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/topic-topic_random2_seed1-bertweet-base") - Notebooks
- Google Colab
- Kaggle
| {"test/eval_loss": 0.1634649783372879, "test/eval_f1": 0.5541666666666666, "test/eval_f1_macro": 0.13063482616923164, "test/eval_accuracy": 0.3532219570405728, "test/eval_runtime": 2.0518, "test/eval_samples_per_second": 204.216, "test/eval_steps_per_second": 13.159} |