Instructions to use AdapterOcean/expert_7ca432139fd04e6a8ca1337a2d283c8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AdapterOcean/expert_7ca432139fd04e6a8ca1337a2d283c8b with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AdapterOcean/expert_7ca432139fd04e6a8ca1337a2d283c8b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 58961e47fb9b3869bb18ffb200a31156e8b3d73784deb06c0e75201ed1df1ae9
- Size of remote file:
- 17.4 kB
- SHA256:
- 74b3677a23f8bcb5afeaaae92ff0052acdebae81c7b3c41233f71e1c2e068e03
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