Comments (2)
What we need is (mostly) in sentencepiece::wordpiece_encode
. I plan to pull that out, but for now we should use that.
from rbert.
In the tf2 branch, this is done, using our wordpiece package now on CRAN.
from rbert.
Related Issues (20)
- extract_features by model name HOT 2
- Better use_one_hot_embeddings documentation in extract_features HOT 1
- Prompt to Install tensorflow HOT 1
- Share model List Between Functions HOT 2
- Speed Up `extract_features` HOT 5
- Save tokenizer as part of model HOT 1
- https://github.com/bnosac/golgotha HOT 7
- uniquify incoming text
- Rewrite and Speed Up Tokenizer HOT 1
- Decide how to handle tokenization conventions
- (TF2) improve functions in functions-to-improve.R
- start using assert package for safety checks?
- figure out better way to pass token type ids to model
- figure out TF warning message
- change package tests to work with tiny BERT checkpoint
- DL of large model failed
- installation problems HOT 5
- Error when running RBERT In Tensorflow 1.11.0: "Error in py_call_impl(callable, dots$args, dots$keywords)" HOT 1
- Not getting to download the bert_base_uncased HOT 3
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from rbert.