Instructions to use paru4ik/content with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paru4ik/content with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("document-question-answering", model="paru4ik/content")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForDocumentQuestionAnswering processor = AutoProcessor.from_pretrained("paru4ik/content") model = AutoModelForDocumentQuestionAnswering.from_pretrained("paru4ik/content", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from paru4ik/content: direct link, hf CLI and curl.
- Browser
- Download file 4.47 kB
-
https://huggingface.co/paru4ik/content/resolve/main/training_args.bin
- Command line
-
hf download hf://paru4ik/content/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/paru4ik/content/resolve/main/training_args.bin
4.47 kB
- Xet hash:
- 02aa2e29f0d8ef1022c240b455cfcff75f57cc9688b602cca7ac43c56ca728b9
- Size of remote file:
- 4.47 kB
- SHA256:
- 5652dac603a862715e44cdc8d23f75dd0a6666998c6c306a32937bc0a98d581a
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