Instructions to use AlpineHealth/date_family_relevancy_extraction_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlpineHealth/date_family_relevancy_extraction_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="AlpineHealth/date_family_relevancy_extraction_model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("AlpineHealth/date_family_relevancy_extraction_model") model = AutoModelForQuestionAnswering.from_pretrained("AlpineHealth/date_family_relevancy_extraction_model") - Notebooks
- Google Colab
- Kaggle
Upload RobertaForQuestionAnswering
#3
by agr505 - opened
No description provided.
Last one was multiple relevancy indicator training. This push is FM History Seperation from HX modeling.
agr505 changed pull request status to merged