Instructions to use stdlogits/drowse-web-pythia-70m-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use stdlogits/drowse-web-pythia-70m-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_4.bin from stdlogits/drowse-web-pythia-70m-base: direct link, hf CLI and curl.
- Browser
- Download file 16.8 MB
-
https://huggingface.co/stdlogits/drowse-web-pythia-70m-base/resolve/main/params_shard_4.bin
- Command line
-
hf download hf://stdlogits/drowse-web-pythia-70m-base/params_shard_4.bin
-
curl -L -o params_shard_4.bin https://huggingface.co/stdlogits/drowse-web-pythia-70m-base/resolve/main/params_shard_4.bin
16.8 MB
- Xet hash:
- eb5e20300d8e226582c170b0825dfd11a10aef363e9492b794e3757fbf7ef7bb
- Size of remote file:
- 16.8 MB
- SHA256:
- 65d3b996899724fd88b8edba6566b3da7f83d69361254e6d343cb60ba04f6c49
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