Image-to-Text
Transformers
PyTorch
TensorBoard
English
vision-encoder-decoder
image-text-to-text
Generated from Trainer
Instructions to use DunnBC22/trocr-base-printed_captcha_ocr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DunnBC22/trocr-base-printed_captcha_ocr 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="DunnBC22/trocr-base-printed_captcha_ocr")# Load model directly from transformers import AutoTokenizer, AutoModelForImageTextToText tokenizer = AutoTokenizer.from_pretrained("DunnBC22/trocr-base-printed_captcha_ocr") model = AutoModelForImageTextToText.from_pretrained("DunnBC22/trocr-base-printed_captcha_ocr") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#6 opened about 1 month ago
by
SFconvertbot
Error using Inference API
#5 opened about 2 years ago
by
jerry050512
How to Use this Model
🔥 3
#3 opened over 2 years ago
by
faisalrehmanid
Librarian Bot: Add base_model information to model
#2 opened over 2 years ago
by
librarian-bot
Adding `safetensors` variant of this model
#1 opened over 2 years ago
by
SFconvertbot