Instructions to use paru4ik/content with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paru4ik/content with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("document-question-answering", model="paru4ik/content")# Load model directly from transformers import AutoProcessor, AutoModelForDocumentQuestionAnswering processor = AutoProcessor.from_pretrained("paru4ik/content") model = AutoModelForDocumentQuestionAnswering.from_pretrained("paru4ik/content", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 200
Browse files- pytorch_model.bin +1 -1
- training_args.bin +1 -1
pytorch_model.bin
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training_args.bin
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