Instructions to use FlavioBF/multi-qa-mpnet-base-dot-v1_fine_tuned_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FlavioBF/multi-qa-mpnet-base-dot-v1_fine_tuned_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="FlavioBF/multi-qa-mpnet-base-dot-v1_fine_tuned_model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("FlavioBF/multi-qa-mpnet-base-dot-v1_fine_tuned_model") model = AutoModelForQuestionAnswering.from_pretrained("FlavioBF/multi-qa-mpnet-base-dot-v1_fine_tuned_model") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!