AttributeError: 'NllbTokenizerFast' object has no attribute 'lang_code_to_id'

[rajanish4]

System Info

• transformers version: 4.42.0.dev0
• Platform: Windows-10-10.0.20348-SP0
• Python version: 3.9.7
• Huggingface_hub version: 0.23.3
• Safetensors version: 0.4.3
• Accelerate version: not installed
• Accelerate config: not found
• PyTorch version (GPU?): 1.13.0 (True)
• Tensorflow version (GPU?): not installed (NA)
• Flax version (CPU?/GPU?/TPU?): not installed (NA)
• Jax version: not installed
• JaxLib version: not installed
• Using distributed or parallel set-up in script?:
• Using GPU in script?:
• GPU type: NVIDIA RTX A6000

Who can help?

@ArthurZucker

Information

• [X] The official example scripts
• [ ] My own modified scripts

Tasks

• [ ] An officially supported task in the examples folder (such as GLUE/SQuAD, ...)
• [ ] My own task or dataset (give details below)

Reproduction

from transformers import AutoModelForSeq2SeqLM, AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("facebook/nllb-200-distilled-600M", src_lang="ron_Latn", token=token) model = AutoModelForSeq2SeqLM.from_pretrained("facebook/nllb-200-distilled-600M", token=token)

article = "Şeful ONU spune că nu există o soluţie militară în Siria" inputs = tokenizer(article, return_tensors="pt") translated_tokens = model.generate(**inputs, forced_bos_token_id=tokenizer.lang_code_to_id["deu_Latn"], max_length=30) tokenizer.batch_decode(translated_tokens, skip_special_tokens=True)[0]

Expected behavior

It should output translated text: UN-Chef sagt, es gibt keine militärische Lösung in Syrien

Complete error:

translated_tokens = model.generate(**inputs, forced_bos_token_id=tokenizer.lang_code_to_id["deu_Latn"], max_length=30) AttributeError: 'NllbTokenizerFast' object has no attribute 'lang_code_to_id'

[ArthurZucker]

Yes, we had a deprecation cycle and this attribute was removed 😉

[rajanish4]

Thanks, but then how can i provide the language code for translation?

[ArthurZucker]

you should simply do tokenizer.encode("deu_Latn")[0]

[buyukakyuz]

Then why the doc says otherwise? This is V4.42.0. I also don't understand how to use tokenizer.encode("deu_Latn")[0]. What's the keyword? Is this a positional argument? @ArthurZucker

[fe1ixxu]

It seems there is an error: whatever the language code I gave to the NLLB tokenizer, it will always output English token id. My version is V4.42.3 @ArthurZucker :

[ShayekhBinIslam]

I think, tokenizer.encode("deu_Latn")[0] is the regular BOS token, tokenizer.encode("deu_Latn")[1] is the expected token. @ArthurZucker

[ArthurZucker]

Yes! You should use convert_token_to_id rather than encode sorry 😉

[tnitn]

What worked for me is translated_tokens = model.generate(**inputs, forced_bos_token_id=tokenizer.convert_tokens_to_ids("deu_Latn"), max_length=30)

[ArthurZucker]

yep this is what we expect!

[LahadMbacke]

It works for me : FR_CODE = tokenizer.convert_tokens_to_ids("fr_Latn") WO_CODE = tokenizer.convert_tokens_to_ids("wol_Latn")

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[brauliobo]

I'm getting this error using nllb-serve binary from the latest git version:

set 30 15:23:42 xeon1 nllb-serve[10089]:  * Running on http://10.0.0.6:6060
set 30 15:23:42 xeon1 nllb-serve[10089]: INFO:werkzeug:Press CTRL+C to quit
set 30 15:23:57 xeon1 nllb-serve[10089]: INFO:root:Loading tokenizer for facebook/nllb-200-distilled-600M; src_lang=eng_Latn ...
set 30 15:23:58 xeon1 nllb-serve[10089]: ERROR:nllb_serve.app:Exception on /translate [POST]
set 30 15:23:58 xeon1 nllb-serve[10089]: Traceback (most recent call last):
set 30 15:23:58 xeon1 nllb-serve[10089]:   File "/home/nllb-serve/nllb-serve/env/lib/python3.12/site-packages/flask/app.py", line 1463, in wsgi_app
set 30 15:23:58 xeon1 nllb-serve[10089]:     response = self.full_dispatch_request()
set 30 15:23:58 xeon1 nllb-serve[10089]:                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
set 30 15:23:58 xeon1 nllb-serve[10089]:   File "/home/nllb-serve/nllb-serve/env/lib/python3.12/site-packages/flask/app.py", line 872, in full_dispatch_request
set 30 15:23:58 xeon1 nllb-serve[10089]:     rv = self.handle_user_exception(e)
set 30 15:23:58 xeon1 nllb-serve[10089]:          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
set 30 15:23:58 xeon1 nllb-serve[10089]:   File "/home/nllb-serve/nllb-serve/env/lib/python3.12/site-packages/flask/app.py", line 870, in full_dispatch_request
set 30 15:23:58 xeon1 nllb-serve[10089]:     rv = self.dispatch_request()
set 30 15:23:58 xeon1 nllb-serve[10089]:          ^^^^^^^^^^^^^^^^^^^^^^^
set 30 15:23:58 xeon1 nllb-serve[10089]:   File "/home/nllb-serve/nllb-serve/env/lib/python3.12/site-packages/flask/app.py", line 855, in dispatch_request
set 30 15:23:58 xeon1 nllb-serve[10089]:     return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args)  # type: ignore[no-any-return]
set 30 15:23:58 xeon1 nllb-serve[10089]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
set 30 15:23:58 xeon1 nllb-serve[10089]:   File "/home/nllb-serve/nllb-serve/nllb_serve/app.py", line 145, in translate
set 30 15:23:58 xeon1 nllb-serve[10089]:     **inputs, forced_bos_token_id=tokenizer.lang_code_to_id[tgt_lang],
set 30 15:23:58 xeon1 nllb-serve[10089]:                                   ^^^^^^^^^^^^^^^^^^^^^^^^^
set 30 15:23:58 xeon1 nllb-serve[10089]: AttributeError: 'NllbTokenizerFast' object has no attribute 'lang_code_to_id'

[brauliobo]

downgrading transformers from 4.45.1 to 4.37.0 fixed the issue for me. found it here https://drsuneamer.tistory.com/250

[thomas-ferraz]

I need to edit a tokenizer to add a new language code, how can i do it on NllbTokenizer? On the code I'm using it is like that:

old_len = len(tokenizer) - int(new_lang in tokenizer.added_tokens_encoder)
tokenizer.lang_code_to_id[new_lang] = old_len-1
tokenizer.id_to_lang_code[old_len-1] = new_lang

[thomas-ferraz]

I need to edit a tokenizer to add a new language code, how can i do it on NllbTokenizer? On the code I'm using it is like that:

old_len = len(tokenizer) - int(new_lang in tokenizer.added_tokens_encoder)
tokenizer.lang_code_to_id[new_lang] = old_len-1
tokenizer.id_to_lang_code[old_len-1] = new_lang

Just to provide a response here to my own question, this code worked for me (maybe is not the best way, we can consider creating new functions for that.)

from transformers.tokenization_utils import AddedToken
old_len = len(tokenizer) - int(new_lang in tokenizer.added_tokens_encoder)
tokenizer._added_tokens_encoder[new_lang] = old_len-1
tokenizer._added_tokens_decoder[old_len-1] = AddedToken(new_lang, normalized=False, special=True)

if new_lang not in tokenizer._additional_special_tokens:
    tokenizer._additional_special_tokens.append(new_lang)

[ArthurZucker]

There is a function that does exactly that 😉 tokenizer.add_token(AddedToken(new_lang, normalized=False, special=True)).