Comments (5)
ArthurZucker
commented on August 21, 2024
Hey! I suppose you are using python and can't see what's inside your tokenizer! #1542 should help you with this 🤗
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LuoKaiGSW
commented on August 21, 2024
Hey! I suppose you are using
pythonand can't see what's inside your tokenizer! #1542 should help you with this 🤗
Thank you for your reply, but I didn't fully understand what you meant. After using tokenizer._tokenizer.model, I got a BPE object, but I didn't see the attribute I wanted in it - that is, the mapping from byte values to Unicode. Could you explain it a bit more clearly, please?
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ArthurZucker
commented on August 21, 2024
You cannot see any attributes because both __repr__ and __str__ are not implemented
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LuoKaiGSW
commented on August 21, 2024
You cannot see any attributes because both
__repr__and__str__are not implemented
So, is it impossible to read this mapping relationship from the fast tokenizer?
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ArthurZucker
commented on August 21, 2024
It is coming with the PR that I linked 😉
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Related Issues (20)
- "Solution" to memory hogging in train_new_from_iterator with a hack HOT 7
- How to use `TokenizerBuilder`? HOT 4
- [Bug?] Modifying normalizer for pretrained tokenizers don't consistently work HOT 2
- Llama-3 offset-mapping needs fixing HOT 6
- `Encoding` object stub doesn't include `__len__` HOT 4
- Progress bar doesn't show in log file. HOT 4
- Unable to Load Custom GPT2 Tokenizer - " data did not match any variant of untagged enum ModelWrapper at line 1 column 3193814" Error HOT 3
- Unable to sSet `use_regex=False` in BPE decoder & post_processor? HOT 4
- Decode regression HOT 10
- documentation of the `pattern` parameter in `pre_tokenizers.Split` is incorrect HOT 1
- Custom fast PreTokenizer, ported via PyO3 to Python HOT 2
- Tokenizer.from_bytes() not available in python bindings HOT 4
- BPE Split pretokenization rule is not reflected in the vocabulary HOT 2
- Truncation performs slowly. Tokenizer firstly encodes long sequence and then truncates it. HOT 2
- apply_chat_template api usage consult
- Issue with `SentencePieceUnigramTokenizer` Handling Unknown Tokens HOT 1
- `train_from_iterator` out of memory on WMT14 `de` dataset HOT 2
- return pytorch tensors like in transformers? HOT 5
- Risk of global variable memory leaks when calling train_from_iterator
- [building on windows] onig_sys/oniguruma two or more data types in declaration specifiers HOT 2
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