Marco Meer

It appears as if a similar functionality has been realized by https://git.kaki87.net/KaKi87/userscripts/src/branch/master/mastovueEmbedded

Unfortunately, I do not get further with your workaround. ``` from paperqa import Settings, ask local_llm_config = dict( model_list=[dict( model_name="my_llm_model", litellm_params=dict( model="my-llm-model", api_base="http://localhost:8080/v1", api_key="sk-no-key-required", temperature=0.1, frequency_penalty=1.5, max_tokens=512, ), )] )...

Thank you for the clarification. Afaik in the case of the local llm, which in the README example is [https://github.com/Mozilla-Ocho/llamafile](https://github.com/Mozilla-Ocho/llamafile), it is an openai-compatible endpoint, so I executed the following...

What @whitead suggested, does not work (see error message below). I have also tried all models listed in [https://docs.litellm.ai/docs/providers/openai](https://docs.litellm.ai/docs/providers/openai) and they are either not available or I have insufficient quota....

I am now trying `vllm serve "meta-llama/Meta-Llama-3-8B-Instruct"` together with ``` ENDPOINT = "huggingface" MODEL_NAME = "meta-llama/Meta-Llama-3-8B-Instruct" my_llm_model = f"vllm/{ENDPOINT}/{MODEL_NAME}" from paperqa import Settings, ask local_llm_config = dict( model_list=[dict( model_name=f"{ENDPOINT}/{MODEL_NAME}", litellm_params=dict(...

Hi @haesleinhuepf - thanks for reacting so quickly! This should enable you to quickly reproduce the TypeError: Create fresh environment: ``` conda create -y -n zarr-napari-env -c conda-forge python=3.10 #...

Good timing, I've just tried it and it works 🥳 Thanks a lot! I will use it in my next teaching course. Edit: Just fyi ``` ERROR: pip's dependency resolver...

No dependency conflict in this fresh install 👍 ``` mamba create --name devbio-napari-env python=3.9 -c conda-forge mamba activate devbio-napari-env mamba install devbio-napari -c conda-forge -c pytorch pip install pyclesperanto==0.16.1 pip...

Some operations that change type do result in an error though: ``` AttributeError: 'MultiScaleData' object has no attribute 'astype' 2025-02-18 11:11:53.116 | INFO | napari_assistant._gui._category_widget:call_op:185 - threshold_otsu (pyclesperanto)(..., ) Segmentation...

Thanks! Just tried to reproduce this, but I get a `ValueError(f"No writer found for {path!r} with layer types {layer_types}")`, layer_types being `['labels']`, from `npe2/io_utils.py:314`. ``` napari: 0.4.19 Platform: Linux-6.5.0-21-generic-x86_64-with-glibc2.35 System:...