Omar Sanseviero

Hey all! As some people were interested in a place to discuss about translations, we opened a category in the [HF Discord server](http://hf.co/join/discord) with a category for internationalization and translation...

cc @sgugger @amyeroberts

Hi there! Thanks a lot for the proposal! We discussed this with the team, and we're not sure the blog will be the best place for this. This is more...

FYI we have a GitHub actions workflow https://github.com/huggingface/hub-docs/blob/main/.github/workflows/js-interfaces-tests.yml#L30-L34 (https://github.com/huggingface/hub-docs/pull/96) that exports the types automatically, which can be copy-pasted in datasets https://github.com/huggingface/datasets/pull/4066, for example, has the JSON generated (https://github.com/huggingface/datasets/blob/main/src/datasets/utils/resources/tasks.json) We could...

Yes, one could do some I/O standardization, but maintaining and scaling can become very challenging. Even for the Inference API of transformers, different things could happen for the same given...

For transformers I would use https://huggingface.co/docs/transformers/main_classes/pipelines and https://huggingface.co/docs/api-inference/detailed_parameters Although point 1 sounds nice, for me, it's very unclear what's the use of providing the task taxonomy through the `huggingface_hub` library....

Related: huggingface/api-inference-community#26 and huggingface/api-inference-community#26. As far as I know, community libraries do not support private repos by design, but I don't see any very strong reason to not have private...

Sorry for the issue, the error is unrelated to your PR!

Very nice feedback :fire: Feel free to open PRs directly to fix some of these that have a clear fix :) * The requirements * The hu? -> The Hub...

I changed this line to the new model and the test fails https://github.com/huggingface/api-inference-community/blob/main/docker_images/fairseq/tests/test_api.py#L12. The [inference code](https://github.com/huggingface/api-inference-community/blob/main/docker_images/fairseq/app/pipelines/text_to_speech.py) does not work for this model. My understanding from https://huggingface.co/facebook/xm_transformer_s2ut_800m-es-en-st-asr-bt_h1_2022 is that the inference...