Instructions to use Lakoc/ED_small_cv_en_deeper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lakoc/ED_small_cv_en_deeper with Transformers:
# Load model directly from transformers import JointCTCAttentionEncoderDecoder model = JointCTCAttentionEncoderDecoder.from_pretrained("Lakoc/ED_small_cv_en_deeper", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 00492064a9352f233ffa24f078a6605b3b35da4f3a5f1888a2f6188695e40d6a
- Size of remote file:
- 5.69 kB
- SHA256:
- 36d685fc99d8396a50789583f83c22ab638b4d8f9c37478d2d71033a8f287dec
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