Instructions to use vikp/text_recognizer_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vikp/text_recognizer_test with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("vikp/text_recognizer_test") model = AutoModel.from_pretrained("vikp/text_recognizer_test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 766141164de38249069dd6694227c7f62e3632dd25dd1d11baf8ae8f277a428c
- Size of remote file:
- 1.05 GB
- SHA256:
- 83aca81545a82a0a98f67a218852d5718d29ebced8b21c05f75ef378d18ac760
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