PyTorch-NLP
PyTorch-NLP copied to clipboard
Add BPE encoder
Codecov Report
Merging #100 into master will decrease coverage by
0.10%. The diff coverage is92.55%.
@@ Coverage Diff @@
## master #100 +/- ##
==========================================
- Coverage 94.41% 94.31% -0.11%
==========================================
Files 64 66 +2
Lines 1611 1705 +94
==========================================
+ Hits 1521 1608 +87
- Misses 90 97 +7
| Impacted Files | Coverage Δ | |
|---|---|---|
| torchnlp/encoders/text/bpe_text_tokenizer.py | 90.16% <90.16%> (ø) |
|
| torchnlp/encoders/text/bytepair_encoder.py | 96.87% <96.87%> (ø) |
|
| torchnlp/encoders/text/__init__.py | 100.00% <100.00%> (ø) |
Continue to review full report at Codecov.
Legend - Click here to learn more
Δ = absolute <relative> (impact),ø = not affected,? = missing dataPowered by Codecov. Last update cde86ba...63460d0. Read the comment docs.
Hey! Thank you for your contribution.
Do you an opinion on subword_nmt vs tokenizers by HuggingFace?