Instructions to use Partha11/trocr-vit-processor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Partha11/trocr-vit-processor with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Partha11/trocr-vit-processor", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Partha11/trocr-vit-processor: direct link, hf CLI and curl.
- Browser
- Download file 3.56 MB
-
https://huggingface.co/Partha11/trocr-vit-processor/resolve/main/tokenizer.json
- Command line
-
hf download hf://Partha11/trocr-vit-processor/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Partha11/trocr-vit-processor/resolve/main/tokenizer.json
3.56 MB
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