Instructions to use echarlaix/tiny-random-gpt2-torchscript with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use echarlaix/tiny-random-gpt2-torchscript with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("echarlaix/tiny-random-gpt2-torchscript", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc6f309594f95a8b82f526c9201934ee1c443177517817e91ad93d8f7417b2ec
- Size of remote file:
- 726 kB
- SHA256:
- bd69bbe79adb0f24884a9f660335c2c3e38a3bd492e222d3c318234499014968
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