HTRflow How to use Riksarkivet/trocr-base-handwritten-hist-swe-2 with HTRflow:
# CLI usage
# see docs: https://ai-riksarkivet.github.io/htrflow/latest/getting_started/quick_start.html
htrflow pipeline <path/to/pipeline.yaml> <path/to/image>
# Python usage
from htrflow.pipeline.pipeline import Pipeline
from htrflow.pipeline.steps import Task
from htrflow.models.framework.model import ModelClass
pipeline = Pipeline(
[
Task(
ModelClass, {"model": "Riksarkivet/trocr-base-handwritten-hist-swe-2"}, {}
),
]) Transformers How to use Riksarkivet/trocr-base-handwritten-hist-swe-2 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="Riksarkivet/trocr-base-handwritten-hist-swe-2") # Load model directly
from transformers import AutoTokenizer, AutoModelForMultimodalLM
tokenizer = AutoTokenizer.from_pretrained("Riksarkivet/trocr-base-handwritten-hist-swe-2")
model = AutoModelForMultimodalLM.from_pretrained("Riksarkivet/trocr-base-handwritten-hist-swe-2") 
