Instructions to use AdapterOcean/expert_0dcd6cbcab244eb288e1c3b908356455 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AdapterOcean/expert_0dcd6cbcab244eb288e1c3b908356455 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AdapterOcean/expert_0dcd6cbcab244eb288e1c3b908356455", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c558cefbaa1b6f31b6e4e0e2b0d3eb2eb3c4ada0ad9c630359ee4951b6ac41c7
- Size of remote file:
- 103 kB
- SHA256:
- fa47b4f096bf98ddacd462cf9b806e9d58b605fd9d5d3eaf7f2d730cb3a88b9e
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