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_6.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_6.bin
- Command line
-
hf download hf://stdlogits/drowse-web-gpt2-base/params_shard_6.bin
-
curl -L -o params_shard_6.bin https://huggingface.co/stdlogits/drowse-web-gpt2-base/resolve/main/params_shard_6.bin
28.4 MB
- Xet hash:
- 0bbf962792f73e421247efc9c162a694731693ab9edfef4ccd6d80e5a524ca92
- Size of remote file:
- 28.4 MB
- SHA256:
- e506fd824bffe2466ca490f39db606d4b9e5cfcbcfcea14f7ff1ee0a40593402
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