Instructions to use AdapterOcean/expert_27d84529b50a46eeb68a4206534bcb3d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AdapterOcean/expert_27d84529b50a46eeb68a4206534bcb3d with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AdapterOcean/expert_27d84529b50a46eeb68a4206534bcb3d", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3afd16193e704218eed9b1cacb5f7260c80cb062a5f6600cadb44deae7a3617a
- Size of remote file:
- 380 kB
- SHA256:
- 3c6c71f33d071f421b69186205d9fe7f3a232fb0e4280b9faf0c953844b2f236
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