How to use microsoft/trocr-large-printed 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="microsoft/trocr-large-printed")
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("microsoft/trocr-large-printed") model = AutoModelForMultimodalLM.from_pretrained("microsoft/trocr-large-printed", device_map="auto")
https://huggingface.co/microsoft/trocr-large-printed/resolve/main/vocab.json
hf download hf://microsoft/trocr-large-printed/vocab.json
curl -L -o vocab.json https://huggingface.co/microsoft/trocr-large-printed/resolve/main/vocab.json
