Image-to-Text
Transformers
Safetensors
English
vision-encoder-decoder
image-text-to-text
chess
ocr
handwritten-text-recognition
trocr
computer-vision
Instructions to use uchihamadara1816/TROCR-Chess with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uchihamadara1816/TROCR-Chess 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="uchihamadara1816/TROCR-Chess")# Load model directly from transformers import AutoTokenizer, AutoModelForImageTextToText tokenizer = AutoTokenizer.from_pretrained("uchihamadara1816/TROCR-Chess") model = AutoModelForImageTextToText.from_pretrained("uchihamadara1816/TROCR-Chess") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5d7c36dd6d5f98b4ec4ada64d72fcf56e54759d8f48e3afab59a21828abe7033
- Size of remote file:
- 5.97 kB
- SHA256:
- 166113c5d3e9dcc00c3caef9bd2f34380a6d1157877e53cd82ccdb123d116e75
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