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:
- f0e20cb954928152c6d4043db3e04dbc5644eecb15671fd8517cc1c981acb092
- Size of remote file:
- 802 MB
- SHA256:
- 41481c14ddbfe08ee4d07d9f3ee36a97e561aeca7c4bb46770e89e313d3136fd
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