Instructions to use Nima-nlc/ayaa_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nima-nlc/ayaa_test with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Nima-nlc/ayaa_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 822d5834a94238ee910e367a815772f39dfd733dea18826817de12adf290a1b0
- Size of remote file:
- 16.3 MB
- SHA256:
- 49e22a3bc6d8c5ed0f152cdfdb2473fcc41f5ac03b1c2df6e2e16998ce709bb9
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