Instructions to use frizwankhan/entity-linking-model-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use frizwankhan/entity-linking-model-final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("document-question-answering", model="frizwankhan/entity-linking-model-final")# Load model directly from transformers import AutoProcessor, AutoModelForDocumentQuestionAnswering processor = AutoProcessor.from_pretrained("frizwankhan/entity-linking-model-final") model = AutoModelForDocumentQuestionAnswering.from_pretrained("frizwankhan/entity-linking-model-final") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c13ec01817f996466ac44bec8b646959b0ce33e36775fd76f6e33c15597ce53
- Size of remote file:
- 802 MB
- SHA256:
- 34f19249b2fd43f4c5ca32bffeba3d60bb7872ffaa5d3e3dd3c6e8de8fb4d6d2
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