Osma Suominen

FWIW, here's another OpenAPI spec (partial, only covers core aspects) from the Annif PR that implements reconciliation API support: https://github.com/NatLibFi/Annif/pull/734/files It might be useful for comparison...

I have an experimental conversion pipeline (for processing library records) that is currently implemented using command line tools strung together, but I'm thinking of migrating that to a RabbitMQ queue...

@Dunedan this is great work! I noticed that you had disabled LRU caching of already looked up tokens in your benchmarks. While this is a good way to measure the...

This looks like a big improvement! But this PR doesn't currently touch the top level README at all, so some content is now duplicated (e.g. the table with supported languages)....

@adbar > We could use links to the relevant sections. Not sure I understood. Was this directed to me? Should I be more specific in pointing out the duplicated text?...

One aspect of the class API I'm wondering about is the difference between `Lemmatizer` and `LanguageDetector` in that `Lemmatizer` is language-agnostic (the same instance can be used with many languages/combinations,...

FWIF, I was able to work around the problem by creating the directory `finetuned-model/model` and moving all files below that directory.

Thanks for your research and explanation @sanjaydasgupta ! From a naïve user perspective, what surprised me is that `upload_to_hf_hub()` requires a literal `model` directory. So instead of changing the implementation...

@sanjaydasgupta > It seems you had already fine-tuned an LLM, and then wanted to upload the fine-tuned model to HF. Normally, in this situation, calling upload_to_hf_hub() with a model_path pointing...

@danbri > It looks like they have subtly different meanings Can you elaborate? What's the difference in meaning (apart from the intended scope: schema.org vs. DCTerms properties)?