Instructions to use stdlogits/drowse-web-gpt2-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use stdlogits/drowse-web-gpt2-base with MLC-LLM:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download model.wasm from stdlogits/drowse-web-gpt2-base: direct link, hf CLI and curl.
- Browser
- Download file 12.9 MB
-
https://huggingface.co/stdlogits/drowse-web-gpt2-base/resolve/main/model.wasm
- Command line
-
hf download hf://stdlogits/drowse-web-gpt2-base/model.wasm
-
curl -L -o model.wasm https://huggingface.co/stdlogits/drowse-web-gpt2-base/resolve/main/model.wasm
12.9 MB
- Xet hash:
- d776c41608477bb43bdba392abe33ea8e5029340dce7bd125659c6eef3294735
- Size of remote file:
- 12.9 MB
- SHA256:
- a7fdaa50af197946ef48dcb31cfcaccc1a40708ff3e140dcc840e891a0b3fb3e
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