Instructions to use mtzig/eo_train1-10_eval11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mtzig/eo_train1-10_eval11 with Transformers:
# Load model directly from transformers import NanoGPT model = NanoGPT.from_pretrained("mtzig/eo_train1-10_eval11", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b9515db67c7b6955d81bb04702937d5616a000506ed7aa9af2c0803e4e562b3
- Size of remote file:
- 5.24 kB
- SHA256:
- f62103a696cce8142414c8dfbb699763f3b575f93f668d3861669f360183c314
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