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_0.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_0.bin
- Command line
-
hf download hf://stdlogits/drowse-web-gpt2-base/params_shard_0.bin
-
curl -L -o params_shard_0.bin https://huggingface.co/stdlogits/drowse-web-gpt2-base/resolve/main/params_shard_0.bin
28.4 MB
- Xet hash:
- ec2c6d19eb9ad04d0e8126d3446621bd5da2116864711e94bc6e788070722ccb
- Size of remote file:
- 28.4 MB
- SHA256:
- 8c3ea01dca4700064cbe5800181b28e79d0f20ba8317f4a2cccd30b62cfd9bd6
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