Instructions to use AdapterOcean/expert_e9e184ba33e24409b0a3fd335342fcf8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AdapterOcean/expert_e9e184ba33e24409b0a3fd335342fcf8 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AdapterOcean/expert_e9e184ba33e24409b0a3fd335342fcf8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f2cb209ebbed253e0ff34db833a7538da7d7039014851c75a248faac53d5aad6
- Size of remote file:
- 17.2 kB
- SHA256:
- bab35ab4f21cfda1e3d2a37b7e1a670e671dd0ecedcfb1624ad77b5370d58d57
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