Instructions to use wallacenpj/q05_kaggle_sci_4_labels_xmlrobertabase_spell_corrected with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wallacenpj/q05_kaggle_sci_4_labels_xmlrobertabase_spell_corrected with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wallacenpj/q05_kaggle_sci_4_labels_xmlrobertabase_spell_corrected")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wallacenpj/q05_kaggle_sci_4_labels_xmlrobertabase_spell_corrected") model = AutoModelForSequenceClassification.from_pretrained("wallacenpj/q05_kaggle_sci_4_labels_xmlrobertabase_spell_corrected") - Notebooks
- Google Colab
- Kaggle
No model card
- Downloads last month
- 4