Instructions to use tweettemposhift/topic-topic_random2_seed2-bertweet-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/topic-topic_random2_seed2-bertweet-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/topic-topic_random2_seed2-bertweet-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/topic-topic_random2_seed2-bertweet-large") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/topic-topic_random2_seed2-bertweet-large") - Notebooks
- Google Colab
- Kaggle
| {"test/eval_loss": 0.10896400362253189, "test/eval_f1": 0.7478411053540588, "test/eval_f1_macro": 0.5101379735645136, "test/eval_accuracy": 0.5536992840095465, "test/eval_runtime": 3.6265, "test/eval_samples_per_second": 115.538, "test/eval_steps_per_second": 14.615} |