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 params_shard_3.bin from stdlogits/drowse-web-gpt2-base: direct link, hf CLI and curl.
- Browser
- Download file 28.4 MB
-
https://huggingface.co/stdlogits/drowse-web-gpt2-base/resolve/main/params_shard_3.bin
- Command line
-
hf download hf://stdlogits/drowse-web-gpt2-base/params_shard_3.bin
-
curl -L -o params_shard_3.bin https://huggingface.co/stdlogits/drowse-web-gpt2-base/resolve/main/params_shard_3.bin
28.4 MB
- Xet hash:
- d47c45493df7ed4a5822d724d60ffc3cc7ae3e327e805fce7d8b76028418a1af
- Size of remote file:
- 28.4 MB
- SHA256:
- dd77e070a0e282a44bff72ec547af156c1068a165a127540e4166a72f9ca45f4
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