Instructions to use jitendra89/dataicd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jitendra89/dataicd with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jitendra89/dataicd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 50dda49aeab3b1c9fc043b0bce25b42f6fcec8ce5a1becc731203091b74c75cd
- Size of remote file:
- 8.4 MB
- SHA256:
- 36ba6abbfaf5b53c9d0c5a1a45f2728a7ed142a9fb0b6964bd5454e7cbbdc39b
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