Instructions to use AdapterOcean/expert_5310e1292d7a4b8f81f8f4e386e65165 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AdapterOcean/expert_5310e1292d7a4b8f81f8f4e386e65165 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AdapterOcean/expert_5310e1292d7a4b8f81f8f4e386e65165", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9821b017d129fd2dac718db56a857fd6aba0b49ef0bb402d0fe22a342f63f744
- Size of remote file:
- 37.9 kB
- SHA256:
- 1e57ea4fcdfaada8ecbb765e69d7de2b724fd38ae527c3116f68eb40fdd11802
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