Sentencepiece_(73) LOG(INFO) Starts training with : > (input='test/botchan.txt', model_prefix='m', vocab_size=1000, user_defined_symbols=) Training is performed by passing parameters of spm_train to ain() function. > proto = sp.decode(, out_type='immutable_proto') > sp.sample_encode_and_score('This is a test', num_samples=5, alpha=0.1, out_type=str, wor=True) > sp.nbest_encode('This is a test', nbest_size=5, out_type=str) sp.encode('This is a test', out_type=str, enable_sampling=True, alpha=0.1, nbest_size=-1) > proto2 = sp.encode_as_immutable_proto('This is a test') Piece="▁is" surface=" is" id=47 begin=4 end=7 Piece="▁This" surface="This" id=284 begin=0 end=4 print('piece="'.format(n.piece, n.surface, n.id, n.begin, n.end)) > proto = sp.encode('This is a test', out_type='immutable_proto') > sp.encode('This is a test', out_type=str) > sp = spm.SentencePieceProcessor(model_file='test/test_model.model') See this google colab page to run sentencepiece interactively. If you don’t have write permission to the global site-packages directory or don’t want to install into it, please try: % python setup.py install -user DSPM_ENABLE_SHARED=OFF -DCMAKE_INSTALL_PREFIX=./root To build and install the Python wrapper from source, try the following commands to build and install wheel package. Build and Install SentencePieceįor Linux (圆4/i686), macOS, and Windows(win32/圆4) environment, you can simply use pip command to install SentencePiece python module. This API will offer the encoding, decoding and training of Sentencepiece.
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