Instructions to use lizalmazova/HW3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lizalmazova/HW3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("document-question-answering", model="lizalmazova/HW3")# Load model directly from transformers import AutoProcessor, AutoModelForDocumentQuestionAnswering processor = AutoProcessor.from_pretrained("lizalmazova/HW3") model = AutoModelForDocumentQuestionAnswering.from_pretrained("lizalmazova/HW3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dbd4039c17a232d97ff9e0eb0294a6c79c7362f84fb82dda911aa3bc2158c852
- Size of remote file:
- 802 MB
- SHA256:
- 937610525731d6191d9f66472917df74812ff18725d351f1a1cce4eec51f2349
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