huggingface_hub VS psaw

Something to think about:

https://github.com/huggingface/huggingface_hub

Yes! We have a well documented Python library (https://github.com/huggingface/huggingface_hub) and public endpoints (https://huggingface.co/docs/hub/api#endpoints-table) you can use to retrieve information about the models and potentially build UIs with specific use cases in mind

i think if you search for pixel art here there are some models worth checking out: https://huggingface.co/

I received another error saying OSError: We couldn't connect to 'https://huggingface.co' to load this model, couldn't find it in the cached files and it looks like ./vae is not the path to a directory containing a file named diffusion_pytorch_model.bin

I plan to release it on https://huggingface.co/, where all this cool AI stuff is available for free for everyone that wishes to try it.

For this I used mainly the chainner application with models from here but I also used the google colab automatic1111 stable diffusion webui (for example for Lanczos) and also spaces fromhuggingface like this one or then from the replicate.com website super resolution collection.

you will now need to create a huggingface account ( https://huggingface.co/) if you haven't already. When you have, go here and accept the terms, https://huggingface.co/runwayml/stable-diffusion-v1-5. When you have done both, click on your profile icon and go to settings. Click access tokens and then create token, name it whatever you want, select "write". When you are finished with all this, then you can run the next cell which is the hugging face cell. It will ask for a token, you copy and paste what you just created.

PSAW is deprecated: https://github.com/dmarx/psaw Try PMAW. Although, be aware of the well documented, ongoing issues with Pushshift itself; some of the wrappers aren't working as expected. I suspect that once the API itself is functioning normally there may be further updates to the wrappers.

This information is contained in the Readme on Github but is not in the readthedocs page for some reason.

You could use https://github.com/dmarx/psaw to monitor keywords. I haven't personally used it but it is a popular method.

You can do the first part easily with PSAW if you use python, it lets you get submissions from pushshift and then updates them with the current data from the reddit api. Then you would have to sort them, which is also fairly easy with python.

Most of PRAWs methods have a limit argument. Usually with a default of 100. Set it to None, which actually sets the limit to 1000. You'd have to resort to other APIs if you want more than 1000 items like this: https://github.com/dmarx/psaw.

To get live scores or other metadata, you should incorporate accessing the reddit API into your workflow. One easy way to do this is using the 3rd party Pushshift wrapper called PSAW. See the note about setting r = praw.Reddit(...) and api = PushshiftAPI(r).

PSAW: https://github.com/dmarx/psaw

Try using psaw. That will query Pushshift first and copy over updated data from reddit.

Try without the `asc` sort parameter. From the source code we can see that it can cause issues https://github.com/dmarx/psaw/blob/master/psaw/PushshiftAPI.py#L162-L164

I again changed the way I collect data. Adapted from (https://deepnote.com/@deepnote/Mining-and-Exploring-Reddit-Data-using-Python-rfZ7TRRAT2unpCqU6egaKA) and using PSAW (Python Pushshift.io API Wrapper) (https://github.com/dmarx/psaw).