Instructions to use stdlogits/drowse-web-qwen35-2b-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use stdlogits/drowse-web-qwen35-2b-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 model.wasm from stdlogits/drowse-web-qwen35-2b-base: direct link, hf CLI and curl.
- Browser
- Download file 22.6 MB
-
https://huggingface.co/stdlogits/drowse-web-qwen35-2b-base/resolve/main/model.wasm
- Command line
-
hf download hf://stdlogits/drowse-web-qwen35-2b-base/model.wasm
-
curl -L -o model.wasm https://huggingface.co/stdlogits/drowse-web-qwen35-2b-base/resolve/main/model.wasm
22.6 MB
- Xet hash:
- 16492c554b693fbca71f49fb3f4f1846f728c063e9bed9d3121c73f565958903
- Size of remote file:
- 22.6 MB
- SHA256:
- c64c9aef544f71543b73270febe9c68110f295df344afc32fea9de4a08858ecc
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