Instructions to use tweettemposhift/topic-topic_random1_seed2-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/topic-topic_random1_seed2-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/topic-topic_random1_seed2-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/topic-topic_random1_seed2-roberta-large") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/topic-topic_random1_seed2-roberta-large") - Notebooks
- Google Colab
- Kaggle
| {"test/eval_loss": 0.10694271326065063, "test/eval_f1": 0.7585616438356164, "test/eval_f1_macro": 0.5563539568466602, "test/eval_accuracy": 0.522673031026253, "test/eval_runtime": 6.8742, "test/eval_samples_per_second": 60.953, "test/eval_steps_per_second": 7.71} |