Instructions to use tweettemposhift/topic-topic_random3_seed0-bernice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/topic-topic_random3_seed0-bernice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/topic-topic_random3_seed0-bernice")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/topic-topic_random3_seed0-bernice") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/topic-topic_random3_seed0-bernice") - Notebooks
- Google Colab
- Kaggle
| {"test/eval_loss": 0.1190185397863388, "test/eval_f1": 0.7225583405358685, "test/eval_f1_macro": 0.44293048679772945, "test/eval_accuracy": 0.4976303317535545, "test/eval_runtime": 3.3852, "test/eval_samples_per_second": 124.661, "test/eval_steps_per_second": 7.976} |