Instructions to use ruberri/MNLP_M2_mcqa_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ruberri/MNLP_M2_mcqa_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ruberri/MNLP_M2_mcqa_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ruberri/MNLP_M2_mcqa_model") model = AutoModelForSequenceClassification.from_pretrained("ruberri/MNLP_M2_mcqa_model") - Notebooks
- Google Colab
- Kaggle
Ctrl+K