Instructions to use czczup/textnet-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use czczup/textnet-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="czczup/textnet-tiny")# Load model directly from transformers import AutoImageProcessor, TextNetBackbone processor = AutoImageProcessor.from_pretrained("czczup/textnet-tiny") model = TextNetBackbone.from_pretrained("czczup/textnet-tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 090a76d3a2433d01ed29a9b847fe64b93e56630083394ba5be9e95e78fbd2467
- Size of remote file:
- 43 MB
- SHA256:
- 203334ca0d2f1a0f8b4dbfe2ad37f73d215ce681c25443ccdc483d845f3435cb
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