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_9.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_9.bin
- Command line
-
hf download hf://stdlogits/drowse-web-gpt2-base/params_shard_9.bin
-
curl -L -o params_shard_9.bin https://huggingface.co/stdlogits/drowse-web-gpt2-base/resolve/main/params_shard_9.bin
28.4 MB
- Xet hash:
- 6aee945b8f36200116ac030ca99a1b67d9faf3b2a1715f3eacfd5d7fb40d48b1
- Size of remote file:
- 28.4 MB
- SHA256:
- 99ba7f59171d08e6e298f06cbf07e51725c5d6ab4df6fbd1bbeaa0da202895ac
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