Image-to-Text
Transformers
PyTorch
TensorBoard
Safetensors
Hebrew
vision-encoder-decoder
image-text-to-text
Instructions to use sivan22/hdd-words-ocr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sivan22/hdd-words-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="sivan22/hdd-words-ocr")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("sivan22/hdd-words-ocr") model = AutoModelForMultimodalLM.from_pretrained("sivan22/hdd-words-ocr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 10000
Browse files
pytorch_model.bin
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