Instructions to use Lakoc/ED_small_cv_en_continue2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lakoc/ED_small_cv_en_continue2 with Transformers:
# Load model directly from transformers import JointCTCAttentionEncoderDecoder model = JointCTCAttentionEncoderDecoder.from_pretrained("Lakoc/ED_small_cv_en_continue2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 64b38352b471edda7618ef62479361ecca5af4f44b966313fe2d9d7b13381b8d
- Size of remote file:
- 5.82 kB
- SHA256:
- 9f0e5f416482ecd7e88b05953698c4a8eaccdf1ce1d1c9fbdfe56328063624a3
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