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 tokenizer.json from paru4ik/model: direct link, hf CLI and curl.
- Browser
- Download file 712 kB
-
https://huggingface.co/paru4ik/model/resolve/main/tokenizer.json
- Command line
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hf download hf://paru4ik/model/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/paru4ik/model/resolve/main/tokenizer.json
712 kB
File too large to display, you can check the raw version instead.