mirror of
https://github.com/mii443/tokenizers.git
synced 2025-12-07 05:08:24 +00:00
Python - More updates to the new API
This commit is contained in:
@@ -132,8 +132,8 @@ bpe = models.BPE.from_files(vocab, merges)
|
||||
tokenizer = Tokenizer(bpe)
|
||||
|
||||
# Customize pre-tokenization and decoding
|
||||
tokenizer.pre_tokenizer = pre_tokenizers.ByteLevel.new(add_prefix_space=True)
|
||||
tokenizer.decoder = decoders.ByteLevel.new()
|
||||
tokenizer.pre_tokenizer = pre_tokenizers.ByteLevel(add_prefix_space=True)
|
||||
tokenizer.decoder = decoders.ByteLevel()
|
||||
|
||||
# And then encode:
|
||||
encoded = tokenizer.encode("I can feel the magic, can you?")
|
||||
@@ -157,11 +157,11 @@ from tokenizers import Tokenizer, models, pre_tokenizers, decoders, trainers
|
||||
tokenizer = Tokenizer(models.BPE.empty())
|
||||
|
||||
# Customize pre-tokenization and decoding
|
||||
tokenizer.pre_tokenizer = pre_tokenizers.ByteLevel.new(add_prefix_space=True)
|
||||
tokenizer.decoder = decoders.ByteLevel.new()
|
||||
tokenizer.pre_tokenizer = pre_tokenizers.ByteLevel(add_prefix_space=True)
|
||||
tokenizer.decoder = decoders.ByteLevel()
|
||||
|
||||
# And then train
|
||||
trainer = trainers.BpeTrainer.new(vocab_size=20000, min_frequency=2)
|
||||
trainer = trainers.BpeTrainer(vocab_size=20000, min_frequency=2)
|
||||
tokenizer.train(trainer, [
|
||||
"./path/to/dataset/1.txt",
|
||||
"./path/to/dataset/2.txt",
|
||||
|
||||
@@ -76,7 +76,7 @@ elif args.type == "bert":
|
||||
strip_accents=True,
|
||||
lowercase=True,
|
||||
)
|
||||
# tok_r.pre_tokenizer = pre_tokenizers.Whitespace.new()
|
||||
# tok_r.pre_tokenizer = pre_tokenizers.Whitespace()
|
||||
tok_r.pre_tokenizer = pre_tokenizers.BertPreTokenizer()
|
||||
tok_r.decoder = decoders.WordPiece()
|
||||
tok_r.post_processor = BertProcessing(
|
||||
|
||||
Reference in New Issue
Block a user