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, AutoModelForImageTextToText tokenizer = AutoTokenizer.from_pretrained("microsoft/trocr-small-printed") model = AutoModelForImageTextToText.from_pretrained("microsoft/trocr-small-printed") - Notebooks
- Google Colab
- Kaggle
ValueError: Unrecognized feature extractor in microsoft/trocr-base-handwritten. Should have a `feature_extractor_type` key in its preprocessor_config.json of config.json, or one of the following `model_type` keys in its {CONFIG_NAME}: {', '.join(c for c in FEATURE_EXTRACTOR_MAPPING_NAMES.keys())}
1
#7 opened almost 2 years ago
by
ram1813
Example links broken
#5 opened over 2 years ago
by
Xenova
why 'microsoft/trocr-small-printed' don't have vocab.json?
👍 1
4
#3 opened over 3 years ago
by
yaop
Convertation to TorchScript
1
#2 opened almost 4 years ago
by
terekhinI