Instructions to use vanshp123/ocrmnist with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vanshp123/ocrmnist 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="vanshp123/ocrmnist")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("vanshp123/ocrmnist") model = AutoModelForMultimodalLM.from_pretrained("vanshp123/ocrmnist", device_map="auto") - Notebooks
- Google Colab
- Kaggle
upload model.bin file
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:ef223095ba724a5acb806d2af568556255d3421acf244b09bb77876e153e1453
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size 1539626118
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