Instructions to use AdapterOcean/expert_f10f7ff61a9e4ffb9435a461c169ba64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AdapterOcean/expert_f10f7ff61a9e4ffb9435a461c169ba64 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AdapterOcean/expert_f10f7ff61a9e4ffb9435a461c169ba64", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d496c91fed9400a6167841c3ba2e17798dc8095fec265efac679f4e06246c931
- Size of remote file:
- 19.4 kB
- SHA256:
- 1dfa16cdc95cb3bfade18c9b850aada8481518a5e4c48d31fbb5995e403863e6
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