Instructions to use MartinElMolon/RoBERTa_question_difficulty_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MartinElMolon/RoBERTa_question_difficulty_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MartinElMolon/RoBERTa_question_difficulty_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MartinElMolon/RoBERTa_question_difficulty_classifier") model = AutoModelForSequenceClassification.from_pretrained("MartinElMolon/RoBERTa_question_difficulty_classifier") - Notebooks
- Google Colab
- Kaggle
| { | |
| "learning_rate": 8.561080030991057e-06, | |
| "weight_decay": 8.6978565638649e-06, | |
| "dropout": 0.39974100882948604, | |
| "warmup_steps": 16, | |
| "freeze_level": 1 | |
| } |