Instructions to use Nefertury/test_test_42 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nefertury/test_test_42 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("document-question-answering", model="Nefertury/test_test_42")# Load model directly from transformers import AutoProcessor, AutoModelForDocumentQuestionAnswering processor = AutoProcessor.from_pretrained("Nefertury/test_test_42") model = AutoModelForDocumentQuestionAnswering.from_pretrained("Nefertury/test_test_42", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b9755657f42bffbca5ce1d2b72f35c288fdb7ec264e9ecbf196778c68b7ce086
- Size of remote file:
- 4.54 kB
- SHA256:
- dd31301cf89b8436cd94bec131cc6cacffaa4f2e81abf70f587ec8e6b30b131b
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