Instructions to use microsoft/trocr-small-printed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/trocr-small-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-small-printed")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("microsoft/trocr-small-printed") model = AutoModelForMultimodalLM.from_pretrained("microsoft/trocr-small-printed") - Notebooks
- Google Colab
- Kaggle
Update README.md
#1
by lbourdois - opened
Add task tag to improve referencing
BTW I'm wondering why the task type is not detected automatically for those transformers models.
I'll dive in a little bit
I'm going to add it, it's due to the fact that there's no pipeline yet for VisionEncoderDecoderModel.
nielsr changed pull request status to merged