Instructions to use tweettemposhift/nerd-nerd_random2_seed2-bertweet-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/nerd-nerd_random2_seed2-bertweet-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/nerd-nerd_random2_seed2-bertweet-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/nerd-nerd_random2_seed2-bertweet-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/nerd-nerd_random2_seed2-bertweet-base") - Notebooks
- Google Colab
- Kaggle
| {"test/eval_loss": 0.4402777850627899, "test/eval_f1": 0.8682505399568033, "test/eval_accuracy": 0.8622247317899492, "test/eval_runtime": 28.957, "test/eval_samples_per_second": 183.479, "test/eval_steps_per_second": 11.5} |