Instructions to use paru4ik/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paru4ik/model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("document-question-answering", model="paru4ik/model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForDocumentQuestionAnswering processor = AutoProcessor.from_pretrained("paru4ik/model") model = AutoModelForDocumentQuestionAnswering.from_pretrained("paru4ik/model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from paru4ik/model: direct link, hf CLI and curl.
- Browser
- Download file 4.6 kB
-
https://huggingface.co/paru4ik/model/resolve/main/training_args.bin
- Command line
-
hf download hf://paru4ik/model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/paru4ik/model/resolve/main/training_args.bin
4.6 kB
- Xet hash:
- 87ebe46a5595a4f1a3b2b193407a2aeaa4142d0883398b35794e78c15306e503
- Size of remote file:
- 4.6 kB
- SHA256:
- 593236ed27afa971b45e94725e9e95341978f38cc05f51562f308fabad32a1eb
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