Instructions to use AdapterOcean/expert_fae8a2034ebc4c36b24fcae67c18b923 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AdapterOcean/expert_fae8a2034ebc4c36b24fcae67c18b923 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AdapterOcean/expert_fae8a2034ebc4c36b24fcae67c18b923", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c58a5e2b3b5cc8d224dd667bf8c3e6215e333250948063e4d17c03c81596d280
- Size of remote file:
- 282 kB
- SHA256:
- 0d7b3b63e4ed1b447c3864df0c6e081cc5e8c0632e3dae67581ba8cd6f592f73
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