Instructions to use harishussain12/File_Reader with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harishussain12/File_Reader with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("document-question-answering", model="harishussain12/File_Reader")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForDocumentQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("harishussain12/File_Reader") model = AutoModelForDocumentQuestionAnswering.from_pretrained("harishussain12/File_Reader", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from harishussain12/File_Reader: direct link, hf CLI and curl.
- Browser
- Download file 120 Bytes
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https://huggingface.co/harishussain12/File_Reader/resolve/main/README.md
- Command line
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hf download hf://harishussain12/File_Reader/README.md
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curl -L -o README.md https://huggingface.co/harishussain12/File_Reader/resolve/main/README.md
120 Bytes
metadata
datasets:
- p1604/healthcare
language:
- en
base_model:
- impira/layoutlm-document-qa
library_name: transformers