Instructions to use mlc-ai/gpt2-q0f16-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use mlc-ai/gpt2-q0f16-MLC 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_5.bin from mlc-ai/gpt2-q0f16-MLC: direct link, hf CLI and curl.
- Browser
- Download file 33.1 MB
-
https://huggingface.co/mlc-ai/gpt2-q0f16-MLC/resolve/main/params_shard_5.bin
- Command line
-
hf download hf://mlc-ai/gpt2-q0f16-MLC/params_shard_5.bin
-
curl -L -o params_shard_5.bin https://huggingface.co/mlc-ai/gpt2-q0f16-MLC/resolve/main/params_shard_5.bin
33.1 MB
- Xet hash:
- 48d0587d2fab263b6fab543b4e7fbedd5ed17691847327f638b8009f5e635697
- Size of remote file:
- 33.1 MB
- SHA256:
- ef4b35db263c4a98b61f6a6cadd880bfcf86521f3700727e795d6ab38e03d809
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