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Documentation on the differences between the different models #273
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There is a paper accompanying the repository. The models are the same except for neural network size, B stands for "base" and is the smallest, L is "large" and H is "huge". The paper reports that the performance difference between L and H isn't much and I would recommend L if your machine supports it. However, B is lighter and not far behind in performance. |
@franchesoni, thank you so much. I added a PR #300 on this. I would appreciate to have your feedback. |
Currently, there are three model type available.
I could not find any documentation on the difference between them. Is there any available? If not, could someone elaborate on that?
Many thanks.
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