Instructions to use edbordin-linktree/decider-0.8b-executorch-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use edbordin-linktree/decider-0.8b-executorch-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download edbordin-linktree/decider-0.8b-executorch-mlx --local-dir decider-0.8b-executorch-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download SHA256SUMS from edbordin-linktree/decider-0.8b-executorch-mlx: direct link, hf CLI and curl.
- Browser
- Download file 704 Bytes
-
https://huggingface.co/edbordin-linktree/decider-0.8b-executorch-mlx/resolve/main/SHA256SUMS
- Command line
-
hf download hf://edbordin-linktree/decider-0.8b-executorch-mlx/SHA256SUMS
-
curl -L -o SHA256SUMS https://huggingface.co/edbordin-linktree/decider-0.8b-executorch-mlx/resolve/main/SHA256SUMS
704 Bytes
| 8489ebe7c8abe903fcdaace4080ef1660bba98ea44c8007923bfb91777945e37 LICENSE | |
| d9df2f3973c81e7d57a950c43cae4a59edb9f0492191ea74aad2a2478bad4019 README.md | |
| 5ac80c8c9a70f3bf077a32b7d0e9578b54746f6ffb2b63089da8ab799df0fc51 model.pte | |
| 390366f26efb93506fb46b5fee8dcfec7d47760ff7ae84a48d2d38386b8f219c model.pte.json | |
| 273d8e0e683b885071fb17e08d71e5f2a5ddfb5309756181681de4f5a1822d80 model.pte.tokenizer/chat_template.jinja | |
| 06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523 model.pte.tokenizer/tokenizer.json | |
| 8671bed7c852ce9e661be94f179a7b4ffd091c2a65aea0363e5501c20318ee45 model.pte.tokenizer/tokenizer_config.json | |
| fa667ab3612cc18e0e5199eff0a795895f6b58c022995398b68bfb97a669f7f1 provenance.json | |