Instructions to use Smxldo/MNLP_M3_rag_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Smxldo/MNLP_M3_rag_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Smxldo/MNLP_M3_rag_model")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Smxldo/MNLP_M3_rag_model") model = AutoModel.from_pretrained("Smxldo/MNLP_M3_rag_model") - Notebooks
- Google Colab
- Kaggle