This is great, thank you! On Mon, 13 Mar 2023 at 14:23, Sebastian Nehrdich <[email protected]> wrote:
> Dear Dominik, dear list members, > > Sure. The models are published on HuggingFace, which is a hub for deep > learning models of various kinds, a lot of them aimed at natural > language processing tasks. > Both models are of the RoBERTa-architecture, which is very similar to > BERT. A description of what BERT is and what it can do can be found > here: https://huggingface.co/blog/bert-101 > BERT can be described as a medium size language model in contrast to > large language models such as GPT(3) which have been heavily in the > news over the last couple of months > The models we trained for Sanskrit and Vedic Sanskrit are especially > suited for tasks such as sentence classification, tagging (POS, > morpho-syntax) and dependency parsing. > It needs to be noted however that the models on Hugging Face are not > yet finetuned on any of these tasks, and we didn't yet release > ready-to-use code to do POS tagging etc. > So these models can be used as a basic building block in order to > create a Sanskrit processing pipeline, but they are not yet useful for > downstream applications without finetuning. > I hope this is helpful! > With best wishes, > > Sebastian > > On Mon, Mar 13, 2023 at 8:13 PM Dominik Wujastyk <[email protected]> > wrote: > > > > Dear Sebastian, > > > > I think it would be useful to members of this forum to receive - in > addition - a simpler explanation of the remarkable results you and your > colleagues have achieved. Could you do that, including a practical guide > to how the ordinary jobbing Indologist can use what you have done for > practical purposes in daily work? > > > > With thanks, > > Dominik >
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