Instructions to use am-infoweb/layout-test_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use am-infoweb/layout-test_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("document-question-answering", model="am-infoweb/layout-test_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForDocumentQuestionAnswering processor = AutoProcessor.from_pretrained("am-infoweb/layout-test_model") model = AutoModelForDocumentQuestionAnswering.from_pretrained("am-infoweb/layout-test_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from am-infoweb/layout-test_model: direct link, hf CLI and curl.
- Browser
- Download file 712 kB
-
https://huggingface.co/am-infoweb/layout-test_model/resolve/main/tokenizer.json
- Command line
-
hf download hf://am-infoweb/layout-test_model/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/am-infoweb/layout-test_model/resolve/main/tokenizer.json
712 kB
File too large to display, you can check the raw version instead.