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| author | Radamés Ajna <radamajna@gmail.com> | 2023-09-15 22:34:13 -0700 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2023-09-16 07:34:13 +0200 |
| commit | 04ca2b9ebd75b065641512d4254850e065699030 (patch) | |
| tree | 7248dee1357db00e748027da7c6be40bbb8faae7 /README.md | |
| parent | 635012d770a75033081008a22044804d277fafa8 (diff) | |
| download | candle-04ca2b9ebd75b065641512d4254850e065699030.tar.gz candle-04ca2b9ebd75b065641512d4254850e065699030.tar.bz2 candle-04ca2b9ebd75b065641512d4254850e065699030.zip | |
Update README + SAM (#866)
* use serde-wasm-bindgen, faster serialization
* update readme with demos
Diffstat (limited to 'README.md')
| -rw-r--r-- | README.md | 4 |
1 files changed, 3 insertions, 1 deletions
@@ -50,6 +50,7 @@ These online demos run entirely in your browser: object recognition. - [whisper](https://huggingface.co/spaces/lmz/candle-whisper): text to speech. - [LLaMA2](https://huggingface.co/spaces/lmz/candle-llama2): text generation. +- [Segment Anything Model](https://huggingface.co/spaces/radames/candle-segment-anything-wasm): Image segmentation. We also provide a some command line based examples using state of the art models: @@ -96,7 +97,8 @@ There are also some wasm examples for whisper and [llama2.c](https://github.com/karpathy/llama2.c). You can either build them with `trunk` or try them online: [whisper](https://huggingface.co/spaces/lmz/candle-whisper), -[llama2](https://huggingface.co/spaces/lmz/candle-llama2). +[llama2](https://huggingface.co/spaces/lmz/candle-llama2), +[Segment Anything Model](https://huggingface.co/spaces/radames/candle-segment-anything-wasm). For LLaMA2, run the following command to retrieve the weight files and start a test server: |