Instructions to use microsoft/trocr-base-handwritten with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/trocr-base-handwritten 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-base-handwritten")# Load model directly from transformers import AutoTokenizer, AutoModelForImageTextToText tokenizer = AutoTokenizer.from_pretrained("microsoft/trocr-base-handwritten") model = AutoModelForImageTextToText.from_pretrained("microsoft/trocr-base-handwritten") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer.json
#11
by iamvery - opened
This was generated by https://jonatanklosko-bumblebee-tools.hf.space/apps/tokenizer-generator to be used with https://github.com/elixir-nx/bumblebee.
Generated with:
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("microsoft/trocr-base-handwritten")
assert tokenizer.is_fast
tokenizer.save_pretrained("...")