Instructions to use limanz/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use limanz/results with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("limanz/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3706887f15b1890245adae86db1d43e0c80eb74fe71b3670d914079a85370d2e
- Size of remote file:
- 6.23 kB
- SHA256:
- 2572e73c270647f0a5bffb2241b2400645c1f872576a86a353852bbebc8b3ab3
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