Instructions to use mgfrantz/bert_base_uncased_finetuned_kaggle_predicting_effective_arguments with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mgfrantz/bert_base_uncased_finetuned_kaggle_predicting_effective_arguments with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mgfrantz/bert_base_uncased_finetuned_kaggle_predicting_effective_arguments")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mgfrantz/bert_base_uncased_finetuned_kaggle_predicting_effective_arguments") model = AutoModelForSequenceClassification.from_pretrained("mgfrantz/bert_base_uncased_finetuned_kaggle_predicting_effective_arguments") - Notebooks
- Google Colab
- Kaggle