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:
- 674e73e8067996c2c79f58a0ebe0488698de9d294b83346e6c429175c1e4bbec
- Size of remote file:
- 802 MB
- SHA256:
- e4377ec95ef891007c01ed97b576cba792eabb2b153784e38ba0205a06254e60
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