Instructions to use tweettemposhift/topic-topic_random2_seed1-roberta-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-roberta-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-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/topic-topic_random2_seed1-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/topic-topic_random2_seed1-roberta-base") - Notebooks
- Google Colab
- Kaggle
File size: 266 Bytes
046fddb | 1 | {"test/eval_loss": 0.1188269630074501, "test/eval_f1": 0.7188859878154918, "test/eval_f1_macro": 0.4524395935828503, "test/eval_accuracy": 0.5059665871121718, "test/eval_runtime": 2.1152, "test/eval_samples_per_second": 198.088, "test/eval_steps_per_second": 12.765} |