Instructions to use tweettemposhift/topic-topic_random3_seed0-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/topic-topic_random3_seed0-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/topic-topic_random3_seed0-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/topic-topic_random3_seed0-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/topic-topic_random3_seed0-roberta-base") - Notebooks
- Google Colab
- Kaggle
File size: 267 Bytes
34e4fd4 | 1 | {"test/eval_loss": 0.1348286271095276, "test/eval_f1": 0.6654411764705881, "test/eval_f1_macro": 0.29814486629496495, "test/eval_accuracy": 0.4834123222748815, "test/eval_runtime": 2.2035, "test/eval_samples_per_second": 191.515, "test/eval_steps_per_second": 12.253} |