Inference for pinned model keeps loading
I have pinned the enterprise model: `ligolab/DxRoberta`
This model is pinned for instant start. 
When I try the Inference API `fill-mask` task, it responds instantly 
However, when I try API call to embedding pipeline https://api-inference.huggingface.co/pipeline/feature-extraction/ligolab/DxRoberta , I keep getting the message: `{'error': 'Model ligolab/DxRoberta is currently loading', 'estimated_time': 20}` and status does not change with time. 
API call to embedding pipeline was working yesterday when I tested it. 


after I have unpinned the model embeddings pipeline started working again (unless you did something on the back end)<|||||>I have repeated the experiment:  pinned model - embedding pipeline API returns "loading" status; unpinned model - embedding pipeline returns valid results (after model 'warm up'). Look like inference API to embedding pipeline stops working if the model is pinned for instant inference access. <|||||>Tagging @Narsil for visibility (API support issues are best handled over email if possible!)<|||||>Thanks for tagging me, the `ligolab/DxRoberta` is defined a `fill-mask` by default, so that was what was being pinned down leading the issues you were encountering. You can override that by changing the `pipeline_tag` in the model card (if you want).

There is currently no way to specify the `task` when pinning, so I did it manually for now ! You should be good to go !<|||||>If we change `pipeline_tag `do we still need to use API endpoint `/pipeline/feature-extraction/ ` ?<|||||>No if you change the default tag, then the regular route /models/{MODEL} will work ! <|||||>@Narsil , could you chare snippet of using `pipeline_tag` in the card? I don't recall seeing this option it in the documentation https://github.com/huggingface/model_card.<|||||>Just `pipeline_tag: xxx`, see https://huggingface.co/docs#how-is-a-models-type-of-inference-api-and-widget-determined