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_6.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_6.bin
- Command line
-
hf download hf://mlc-ai/gpt2-q0f16-MLC/params_shard_6.bin
-
curl -L -o params_shard_6.bin https://huggingface.co/mlc-ai/gpt2-q0f16-MLC/resolve/main/params_shard_6.bin
33.1 MB
- Xet hash:
- f66d2934a0a28a8a8a0a167ab9ca65258e51a9ffec87d8a344467ca6efff9c22
- Size of remote file:
- 33.1 MB
- SHA256:
- 59adb5499274cc05166e1c1e03d21dfa26934c1d840a58c4914ce128cdf37f55
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