Instructions to use tweettemposhift/topic-topic_random0_seed0-bernice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/topic-topic_random0_seed0-bernice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/topic-topic_random0_seed0-bernice")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/topic-topic_random0_seed0-bernice") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/topic-topic_random0_seed0-bernice") - Notebooks
- Google Colab
- Kaggle
| {"test/eval_loss": 0.11535459011793137, "test/eval_f1": 0.7073608617594256, "test/eval_f1_macro": 0.4366262886518106, "test/eval_accuracy": 0.5107398568019093, "test/eval_runtime": 3.4252, "test/eval_samples_per_second": 122.33, "test/eval_steps_per_second": 7.883} |