Instructions to use mozilla-ai/encoderfile with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- encoderfile
How to use mozilla-ai/encoderfile with encoderfile:
# 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
All encoderfiles are identical (same checksum, Mach-O arm64)
#1
by 23m6sxvj - opened
root@dev:/tmp# md5sum all-MiniLM-L6-v2.*
5b44bc9fa259775b362d9921049cf283 all-MiniLM-L6-v2.aarch64-apple-darwin.encoderfile
5b44bc9fa259775b362d9921049cf283 all-MiniLM-L6-v2.aarch64-linux-gnu.encoderfile
5b44bc9fa259775b362d9921049cf283 all-MiniLM-L6-v2.x86_64-apple-darwin.encoderfile
5b44bc9fa259775b362d9921049cf283 all-MiniLM-L6-v2.x86_64-linux-gnu.encoderfile
root@dev:/tmp# file all-MiniLM-L6-v2.*
all-MiniLM-L6-v2.aarch64-apple-darwin.encoderfile: Mach-O 64-bit arm64 executable, flags:<NOUNDEFS|DYLDLINK|TWOLEVEL|WEAK_DEFINES|BINDS_TO_WEAK|PIE|HAS_TLV_DESCRIPTORS>
all-MiniLM-L6-v2.aarch64-linux-gnu.encoderfile: Mach-O 64-bit arm64 executable, flags:<NOUNDEFS|DYLDLINK|TWOLEVEL|WEAK_DEFINES|BINDS_TO_WEAK|PIE|HAS_TLV_DESCRIPTORS>
all-MiniLM-L6-v2.x86_64-apple-darwin.encoderfile: Mach-O 64-bit arm64 executable, flags:<NOUNDEFS|DYLDLINK|TWOLEVEL|WEAK_DEFINES|BINDS_TO_WEAK|PIE|HAS_TLV_DESCRIPTORS>
all-MiniLM-L6-v2.x86_64-linux-gnu.encoderfile: Mach-O 64-bit arm64 executable, flags:<NOUNDEFS|DYLDLINK|TWOLEVEL|WEAK_DEFINES|BINDS_TO_WEAK|PIE|HAS_TLV_DESCRIPTORS>
besaleli changed discussion status to closed