Dockerdocker pull maxdotio/mighty docker run -p 5050:5050 -t maxdotio/mighty >Mighty server for embeddings is listening on http://localhost:5050Step 2. Infer!
curl http://localhost:5050/\?text=Hello+mighty.
>{
> "took":8,
> "text":"Hello mighty.",
> "shape":[5,384],
> "outputs":[[0.066911593079,0.162673592567,...,-0.233405888080]]
>}
Mac OScurl http://max.io/mighty-mac.tar.gz --output mighty-mac.tar.gz tar -zxf mighty-mac.tar.gzStep 2. Run
mighty/mighty >Mighty server for embeddings is listening on http://localhost:5050Step 3. Infer!
curl http://localhost:5050/\?text=Hello+mighty.
>{
> "took":8,
> "text":"Hello mighty.",
> "shape":[5,384],
> "outputs":[[0.066911593079,0.162673592567,...,-0.233405888080]]
>}
Linuxsudo apt-get install curl hwloc libhwloc-dev curl http://max.io/mighty-linux.tar.gz --output mighty-linux.tar.gz tar -zxf mighty-linux.tar.gzStep 2. Run
mighty/mighty >Mighty server for embeddings is listening on http://localhost:5050Step 3. Infer!
curl http://localhost:5050/\?text=Hello+mighty.
>{
> "took":8,
> "text":"Hello mighty.",
> "shape":[5,384],
> "outputs":[[0.066911593079,0.162673592567,...,-0.233405888080]]
>}
Windowscurl http://max.io/mighty-windows.zip unzip mighty-windows.zip $Env:PATH += ";."Step 2. Run
mighty\mighty-server >Mighty server for embeddings is listening on http://localhost:5050Step 3. Infer!
curl http://localhost:5050/\?text=Hello+mighty.
>{
> "took":8,
> "text":"Hello mighty.",
> "shape":[5,384],
> "outputs":[[0.066911593079,0.162673592567,...,-0.233405888080]]
>}
Give the question and context, get back the highlighted answer! Turn any site-search into a powerful question-answering product.
Just run ./mighty --question-answering from the command line!
Using the best and fastest sentence-transformer models to power your neural search.
Just run ./mighty --sentence-transformers from the command line!
Discover and classify text, or automatically label millions of documents for better search and recommendations.
Just run ./mighty --sequence-classification from the command line!