Instructions to use imperiusrex/Handwritten_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use imperiusrex/Handwritten_model with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("image-to-text", model="imperiusrex/Handwritten_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("imperiusrex/Handwritten_model") model = AutoModelForMultimodalLM.from_pretrained("imperiusrex/Handwritten_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from imperiusrex/Handwritten_model: direct link, hf CLI and curl.
- Browser
- Download file 149 Bytes
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https://huggingface.co/imperiusrex/Handwritten_model/resolve/main/README.md
- Command line
-
hf download hf://imperiusrex/Handwritten_model/README.md
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curl -L -o README.md https://huggingface.co/imperiusrex/Handwritten_model/resolve/main/README.md
149 Bytes
metadata
license: apache-2.0
library_name: transformers
pipeline_tag: image-to-text
tags:
- image-to-text
- trocr
- transformers
- inference