I have written a transformer-based (BERT, XLM-RoBERTa) sequence labeler/lemmatizer/dependency parser in Rust with tch-rs [1] and it is great! Some parts do not

I have written a transformer-based (BERT, XLM-RoBERTa) sequence labeler/lemmatizer/dependency parser in Rust with tch-rs [1] and it is great! Some parts do not feel rusty. E.g. dynamic typing of tensors, you get a Tensor rather than Tensor<f32>, but that's more due to how libtorch itself works. But it's a very straightforward API that exposes most of libtorch. The maintainer is also very nice and responsive. I was also amazed how much is implemented in libtorch itself as opposed to the Python wrapper, which makes much of the Torch functionality available to other languages. [1] https://github.com/stickeritis/sticker2 https://github.com/stickeritis/sticker2 https://github.com/stickeritis/sticker-transformers https://github.com/stickeritis/sticker-transformers